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Udemy - Artificial Intelligence Reinforcement Learning in Python (12.2024)

  • 11 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.4 MB
  • 4 - Markov Decision Proccesses/11 -Bellman Examples.mp4 91.3 MB
  • 10 - Stock Trading Project with Reinforcement Learning/1 -Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • 12 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8 - Approximation Methods/7 -Approximation Methods for Control Code.mp4 81.5 MB
  • 2 - Return of the Multi-Armed Bandit/16 -Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • 5 - Dynamic Programming/5 -Iterative Policy Evaluation in Code.mp4 71.8 MB
  • 10 - Stock Trading Project with Reinforcement Learning/7 -Code pt 2.mp4 68.5 MB
  • 6 - Monte Carlo/5 -Monte Carlo Control in Code.mp4 67.5 MB
  • 1 - Welcome/5 -Warmup.mp4 65.6 MB
  • 8 - Approximation Methods/5 -Approximation Methods for Prediction Code.mp4 65.3 MB
  • 4 - Markov Decision Proccesses/5 -Markov Decision Processes (MDPs).mp4 64.7 MB
  • 5 - Dynamic Programming/2 -Iterative Policy Evaluation.mp4 63.7 MB
  • 5 - Dynamic Programming/10 -Policy Iteration in Code.mp4 59.1 MB
  • 4 - Markov Decision Proccesses/12 -Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • 2 - Return of the Multi-Armed Bandit/15 -Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • 2 - Return of the Multi-Armed Bandit/12 -UCB1 Theory.mp4 58.2 MB
  • 3 - High Level Overview of Reinforcement Learning/1 -What is Reinforcement Learning.mp4 57.3 MB
  • 4 - Markov Decision Proccesses/2 -Gridworld.mp4 56.6 MB
  • 10 - Stock Trading Project with Reinforcement Learning/9 -Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2025-07-05 大小:4.5 GB 最近下载:2025-10-02 热度:205

Modern Reinforcement Learning- Deep Q Learning in PyTorch

  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/018 Analyzing the Paper.mp4 292.7 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/031 Analyzing the Paper.mp4 191.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/038 Consolidating Our Code Base for Maximum Extensability.mp4 176.9 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/033 Analyzing the Paper.mp4 140.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/009 Temporal Difference Learning.mp4 135.8 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/010 Dealing with Continuous State Spaces with Deep Neural Networks.mp4 110.4 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/01 Introduction/003 How to Succeed in this Course.mp4 110.3 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/019 How to Modify the OpenAI Gym Atari Environments.mp4 85.8 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/030 Coding the Deep Q Agent Step 5 - The Main Loop and Analyzing the Performance.mp4 76.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/06 Dueling Network Architectures for Deep Reinforcement Learning/035 Coding the Dueling Deep Q Learning Agent and Analyzing Performance.mp4 74.0 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/025 How to Code the Deep Q Network.mp4 69.7 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/024 How to Code the Agents Memory.mp4 64.4 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/005 Markov Decision Processes.mp4 63.4 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/012 Naive Deep Q Learning in Code Step 2 - Coding the Agent Class.mp4 63.1 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/05 Deep Reinforcement Learning with Double Q Learning/032 Coding the Double Q Learning Agent and Analyzing Performance.mp4 61.1 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/004 Agents Environments and Actions.mp4 60.6 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/07 Improving On Our Solutions/037 Implementing a Command Line Interface for Rapid Model Testing.mp4 59.9 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/04 Human Level Control Through Deep Reinforcement Learning From Paper to Code/017 How to Read Deep Learning Papers.mp4 52.1 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/02 Fundamentals of Reinforcement Learning/006 Value Functions Action Value Functions and the Bellman Equation.mp4 49.5 MB
  • Modern Reinforcement Learning- Deep Q Learning in PyTorch/03 Deep Learning Crash Course/013 Naive Deep Q Learning in Code Step 3 - Coding the Main Loop and Learning.mp4 48.0 MB
[磁力链接] 添加时间:2021-04-10 大小:2.5 GB 最近下载:2025-10-02 热度:3583

[ FreeCourseWeb.com ] Udemy - Curiosity Driven Deep Reinforcement Learning

  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/4. Experimental Setup and Coding Our ICM Module.mp4 244.0 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/12. Coding Our Main Loop and Evaluating Our Agent.mp4 239.4 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/11. How to Modify the Open AI Gym Atari Environments.mp4 171.3 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/7. Learning with Generalized Advantage Estimation.mp4 120.4 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/5. ICM Paper Experiments, Related Work, and Discussion.mp4 116.4 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/10. A3C Paper Experiments and Discussion.mp4 106.3 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/6. Coding our Actor Critic Network.mp4 101.4 MB
  • ~Get Your Files Here !/2. Fundamental Concepts/1. A Brief Review of Deep Reinforcement Learning and Actor Critic Methods.mp4 90.5 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/5. A3C Paper The Asynchronous Reinforcement Learning Framework.mp4 90.3 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/3. Crash Course in Parallel Processing in Python.mp4 88.4 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/6. Setting Up the Mini World and Training Our ICM Agent.mp4 86.1 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/3. ICM Paper Curiosity Driven Exploration.mp4 83.0 MB
  • ~Get Your Files Here !/4. Paper Analysis Curiosity Driven Exploration by Self Supervised Prediction/2. ICM Paper Abstract and Introduction.mp4 78.3 MB
  • ~Get Your Files Here !/2. Fundamental Concepts/2. Code Review of Basic Actor Critic Agent.mp4 75.2 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/1. How to Read and Implement Research Papers.mp4 64.3 MB
  • ~Get Your Files Here !/1. Introduction/1. What You Will Learn in this Course.mp4 54.1 MB
  • ~Get Your Files Here !/2. Fundamental Concepts/3. A Crash Course in Asynchronous Advantage Actor Critic Methods.mp4 49.0 MB
  • ~Get Your Files Here !/3. Paper Analysis Asynchronous Methods for Deep Reinforcement Learning/2. A3C Paper Abstract and Introduction.mp4 41.4 MB
  • ~Get Your Files Here !/1. Introduction/2. How to Succeed in this Course.mp4 35.1 MB
  • ~Get Your Files Here !/1. Introduction/3. Required Background, Software, and Hardware.mp4 27.5 MB
[磁力链接] 添加时间:2023-12-23 大小:2.0 GB 最近下载:2025-10-02 热度:1856

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - from DQN to SAC

  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/003 Create the robotics task.mp4 77.6 MB
  • ~Get Your Files Here !/13 - Hindsight Experience Replay/004 Implement Hindsight Experience Replay (HER) - Part 3.mp4 77.3 MB
  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/007 Implement the Soft Actor-Critic algorithm - Part 2.mp4 69.9 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/011 Define the training step.mp4 60.7 MB
  • ~Get Your Files Here !/06 - PyTorch Lightning/008 Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/005 Create the gradient policy.mp4 56.4 MB
  • ~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/006 Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/06 - PyTorch Lightning/011 Define the train_step() method.mp4 52.2 MB
  • ~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/010 Creating the (NAF) Deep Q-Network 4.mp4 50.2 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/006 Create the gradient policy.mp4 45.6 MB
  • ~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/015 Create the (NAF) Deep Q-Learning algorithm.mp4 45.0 MB
  • ~Get Your Files Here !/08 - Deep Q-Learning for continuous action spaces (Normalized Advantage Function)/007 Creating the (NAF) Deep Q-Network 1.mp4 43.4 MB
  • ~Get Your Files Here !/12 - Soft Actor-Critic (SAC)/006 Implement the Soft Actor-Critic algorithm - Part 1.mp4 42.0 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/008 Create the DDPG class.mp4 40.7 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/005 How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/04 - Refresher Brief introduction to Neural Networks/002 Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/06 - PyTorch Lightning/014 Train the Deep Q-Learning algorithm.mp4 36.7 MB
  • ~Get Your Files Here !/10 - Deep Deterministic Policy Gradient (DDPG)/012 Launch the training process.mp4 35.9 MB
  • ~Get Your Files Here !/13 - Hindsight Experience Replay/002 Implement Hindsight Experience Replay (HER) - Part 1.mp4 35.6 MB
[磁力链接] 添加时间:2023-12-28 大小:2.6 GB 最近下载:2025-10-02 热度:1845

[ DevCourseWeb.com ] Udemy - State-of-the-art Research of Deep Reinforcement-learning

  • ~Get Your Files Here !/01 - OpenAI research/005 Proximal Policy Optimization Algorithms.mp4 57.8 MB
  • ~Get Your Files Here !/04 - Microsoft research/001 Deep Reinforcement Learning for Dialogue Generation.mp4 52.3 MB
  • ~Get Your Files Here !/03 - Google research/004 Exploration in Reinforcement Learning with Deep Covering Options.mp4 46.9 MB
  • ~Get Your Files Here !/01 - OpenAI research/006 Evolution Strategies as a Scalable Alternative to Reinforcement Learning.mp4 44.7 MB
  • ~Get Your Files Here !/03 - Google research/002 Value-Based Deep Reinforcement Learning Requires Explicit Regularization.mp4 42.9 MB
  • ~Get Your Files Here !/03 - Google research/005 Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation.mp4 40.6 MB
  • ~Get Your Files Here !/03 - Google research/007 Interpolated Policy Gradient Merging On-Policy and Off-Policy Gradient Estimati.mp4 40.0 MB
  • ~Get Your Files Here !/03 - Google research/003 Deep Reinforcement Learning at the Edge of the Statistical Precipice.mp4 39.4 MB
  • ~Get Your Files Here !/01 - OpenAI research/001 Emergent Tool Use from Multi-Agent Interaction.mp4 35.5 MB
  • ~Get Your Files Here !/02 - DeepMind research/004 Recurrent Experience Reply in distributed Reinforcement-learning.mp4 35.3 MB
  • ~Get Your Files Here !/03 - Google research/001 Scalable Deep Reinforcement Learning Algorithms for Mean Field Games.mp4 34.7 MB
  • ~Get Your Files Here !/03 - Google research/008 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning.mp4 33.4 MB
  • ~Get Your Files Here !/02 - DeepMind research/002 Learning more skills through optimistic exploration.mp4 33.4 MB
  • ~Get Your Files Here !/02 - DeepMind research/001 NeuPL Neural Population Learning.mp4 32.4 MB
  • ~Get Your Files Here !/03 - Google research/006 FollowNet Robot Navigation by Following Natural Language Directions with Deep R.mp4 29.7 MB
  • ~Get Your Files Here !/02 - DeepMind research/003 When should agents explore.mp4 28.0 MB
  • ~Get Your Files Here !/01 - OpenAI research/003 Emergent Complexity via Multi-Agent Competition.mp4 24.8 MB
  • ~Get Your Files Here !/02 - DeepMind research/005 Maximum a Posteriori Policy Optimisation.mp4 23.8 MB
  • ~Get Your Files Here !/01 - OpenAI research/004 Parameter Space Noise for Exploration.mp4 22.5 MB
  • ~Get Your Files Here !/01 - OpenAI research/002 Learning Dexterous In-Hand Manipulation.mp4 13.9 MB
[磁力链接] 添加时间:2023-12-26 大小:712.0 MB 最近下载:2025-10-02 热度:1925

Practical Reinforcement Learning using Python - 8 AI Agents

  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/11. Creating a Better Learning Environment for Agent.mp4 165.6 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/8. Learn Function.mp4 150.1 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/3. Autonomous Taxi Agent/7. Visualizing our Agent & Testing in other Environments.mp4 103.2 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/10. Learn Function.mp4 93.4 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/7. Car Reinforcement Learning Agents/6. Agent 2) Training our Agent.mp4 85.0 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/7. Train Function.mp4 82.0 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/9. Preprocess State for Neural Network Function.mp4 79.1 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/7. Creating Model & Learning from Environment.mp4 74.4 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/5. Building Neural Network.mp4 73.8 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/3. Autonomous Taxi Agent/5. Training Q-Learning Agent.mp4 71.7 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/13. Visualizing our Agent.mp4 70.4 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/1. Introduction/1. Introduction.mp4 69.8 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/10. Visualize Trained Agent.mp4 64.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/10. PART 2 Creating Environment with Technical Indicators.mp4 55.8 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/2. SpaceInvaders Agent/4. Building Reinforcement Learning Agent.mp4 55.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/9. PART 2 Implementing 89 different Technical Indicators in Data.mp4 54.5 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/12. Save & Load Agent.mp4 54.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/1. Setting up Project & Installing Python Packages.mp4 54.1 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/5. Creating our Environment.mp4 53.3 MB
  • [TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/2. SpaceInvaders Agent/3. Building Neural Network.mp4 53.2 MB
[磁力链接] 添加时间:2021-05-10 大小:2.6 GB 最近下载:2025-10-02 热度:7278

[ FreeCourseWeb.com ] Udemy - Deep Reinforcement Learning 2.0

  • ~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4 281.6 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 2.mp4 212.0 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 4.mp4 204.3 MB
  • ~Get Your Files Here !/4. The Final Demo!/1. Demo - Training.mp4 196.3 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 15.mp4 188.3 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 18.mp4 163.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 3.mp4 142.6 MB
  • ~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4 142.6 MB
  • ~Get Your Files Here !/4. The Final Demo!/2. Demo - Inference.mp4 130.4 MB
  • ~Get Your Files Here !/1. Part 1 - Fundamentals/1. Welcome.mp4 129.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 6.mp4 111.3 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 19.mp4 103.5 MB
  • ~Get Your Files Here !/7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4 95.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 8.mp4 88.0 MB
  • ~Get Your Files Here !/2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4 86.7 MB
  • ~Get Your Files Here !/1. Part 1 - Fundamentals/2. Q-Learning.mp4 85.4 MB
  • ~Get Your Files Here !/6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4 84.8 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 17.mp4 82.9 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 16.mp4 81.9 MB
  • ~Get Your Files Here !/3. Part 3 - Twin Delayed DDPG Implementation/2. Implementation - Step 1.mp4 79.9 MB
[磁力链接] 添加时间:2022-03-12 大小:4.2 GB 最近下载:2025-10-02 热度:2344

GetFreeCourses.Me-Udemy-Cutting-Edge AI Deep Reinforcement Learning in Python

  • 6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
  • 3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
  • 6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
  • 6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
  • 5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
  • 6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
  • 3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
  • 5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB
[磁力链接] 添加时间:2021-03-09 大小:3.5 GB 最近下载:2025-10-02 热度:2403

[ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip

  • [ CourseLala.com ] Udemy - Practical Reinforcement Learning using Python - 8 AI Agents.zip 2.6 GB
[磁力链接] 添加时间:2021-05-26 大小:2.6 GB 最近下载:2025-10-02 热度:2317

[Udemy] Practical AI with Python and Reinforcement Learning (07.2021)

  • 11 Classical Q Learning/019 Q-Learning Exercise Project - Solutions.mp4 185.7 MB
  • 10 Open AI Gym Overview/003 OpenAI Gym - Documentation Tour.mp4 153.7 MB
  • 07 Artificial Neural Network and TensorFlow Basics/027 Tensorboard.mp4 151.2 MB
  • 07 Artificial Neural Network and TensorFlow Basics/020 Keras Project Solution - Exploratoy Data Analysis.mp4 150.6 MB
  • 10 Open AI Gym Overview/005 OpenAI Gym - Working with the Environment.mp4 144.2 MB
  • 07 Artificial Neural Network and TensorFlow Basics/012 Keras Regression - Exploratory Data Analysis.mp4 143.6 MB
  • 07 Artificial Neural Network and TensorFlow Basics/023 Keras Project Solutions - Categorical Data.mp4 131.1 MB
  • 04 Matplotlib and Visualization Overview/011 Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 10 Open AI Gym Overview/006 OpenAI Gym - Agent Interacting with the Environment.mp4 122.1 MB
  • 06 Pandas and Scikit-Learn Crash Course/004 Pandas - DataFrames - Part One.mp4 120.0 MB
  • 07 Artificial Neural Network and TensorFlow Basics/017 Keras Classification - Overfitting and Evaluation.mp4 116.6 MB
  • 03 Numpy Basics Overview/002 NumPy Arrays.mp4 115.0 MB
  • 11 Classical Q Learning/017 Continuous Q-Learning - Part Six - Training and Usage.mp4 114.1 MB
  • 11 Classical Q Learning/010 Q-Learning Implementation - Part Four - Agent Training.mp4 112.2 MB
  • 12 Deep Q-Learning/011 DQN Manual Implementation - Part Four - Model Training.mp4 112.1 MB
  • 08 Convolutional Neural Networks with TensorFlow/007 CNN on MNIST - Creating and Training the Model.mp4 103.7 MB
  • 02 Course Set-Up and Installation Procedures/001 Anaconda and Jupyter Notebook Install and Setup.mp4 103.6 MB
  • 07 Artificial Neural Network and TensorFlow Basics/021 Keras Project Solutions - Missing Data - Part One.mp4 101.5 MB
  • 06 Pandas and Scikit-Learn Crash Course/007 Pandas - DataFrames - Part Four.mp4 101.4 MB
  • 04 Matplotlib and Visualization Overview/006 Matplotlib - Subplots Functionality.mp4 100.9 MB
[磁力链接] 添加时间:2022-02-26 大小:7.9 GB 最近下载:2025-10-01 热度:4422

[Tutorialsplanet.NET] Udemy - GAdvanced AI Deep Reinforcement Learning in Python

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
  • 2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.4 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
  • 2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
  • 1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
  • 2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 46.7 MB
[磁力链接] 添加时间:2021-03-21 大小:3.1 GB 最近下载:2025-10-01 热度:183

[ FreeCourseWeb.com ] Udemy - Cutting-Edge AI- Deep Reinforcement Learning in Python.zip

  • [ FreeCourseWeb.com ] Udemy - Cutting-Edge AI- Deep Reinforcement Learning in Python.zip 3.4 GB
[磁力链接] 添加时间:2022-02-13 大小:3.4 GB 最近下载:2025-10-01 热度:773

[DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
  • 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.4 MB
  • 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
  • 6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 29.2 MB
  • 9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
[磁力链接] 添加时间:2021-03-24 大小:2.5 GB 最近下载:2025-10-01 热度:2505

Reinforcement Learning Specialization

  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/03_generalized-policy-iteration/04_warren-powell-approximate-dynamic-programming-for-fleet-management-long.mp4 152.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/01_welcome-to-the-course/01_course-introduction/05_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/01_the-k-armed-bandit-problem/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/03_optimality-optimal-policies-value-functions/05_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/02_an-introduction-to-sequential-decision-making/03_exploration-vs-exploitation-tradeoff/06_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/01_welcome-to-the-course/01_course-introduction/03_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/01_introduction-to-monte-carlo-methods/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/01_welcome-to-the-course/01_course-introduction/04_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/03_markov-decision-processes/01_introduction-to-markov-decision-processes/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/complete-reinforcement-learning-system/01_welcome-to-the-final-capstone-course/01_course-introduction/03_reinforcement-learning-textbook_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/04_control-with-approximation/01_episodic-sarsa-with-function-approximation/02_weekly-reading-on-policy-control-with-approximation_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/02_monte-carlo-methods-for-prediction-control/04_off-policy-learning-for-prediction/06_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/03_temporal-difference-learning-methods-for-prediction/01_introduction-to-temporal-difference-learning/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/04_value-functions-bellman-equations/01_policies-and-value-functions/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/01_td-for-control/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/03_constructing-features-for-prediction/01_feature-construction-for-linear-methods/02_weekly-reading-on-policy-prediction-with-approximation-ii_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/prediction-control-function-approximation/05_policy-gradient/01_learning-parameterized-policies/02_weekly-reading-policy-gradient-methods_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/04_temporal-difference-learning-methods-for-control/03_expected-sarsa/05_chapter-summary_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/sample-based-learning-methods/05_planning-learning-acting/01_what-is-a-model/02_weekly-reading_RLbook2018.pdf 89.4 MB
  • [TutsNode.net] - Reinforcement Learning Specialization/fundamentals-of-reinforcement-learning/05_dynamic-programming/01_policy-evaluation-prediction/02_weekly-reading_RLbook2018.pdf 89.4 MB
[磁力链接] 添加时间:2024-02-01 大小:5.0 GB 最近下载:2025-10-01 热度:5576

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

  • 9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • 7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • 8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
  • 8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
  • 7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • 8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
  • 9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • 7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • 7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 9. Appendix/13. What order should I take your courses in (part 2).mp4 39.5 MB
  • 9. Appendix/12. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 23.3 MB
  • 5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
  • 5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 20.0 MB
[磁力链接] 添加时间:2021-03-17 大小:1.9 GB 最近下载:2025-10-01 热度:2505

Udacity - Become a Deep Reinforcement Learning Expert v1.0.0

  • Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp4 50.7 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp4 40.4 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp4 34.8 MB
  • Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp4 34.1 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4 31.9 MB
  • Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp4 31.8 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 30.7 MB
  • Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp4 30.1 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/output.gif 29.7 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4 28.9 MB
  • Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
  • Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 28.2 MB
  • Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 27.9 MB
  • Part 03-Module 01-Lesson 07_Continuous Control/img/image8.gif 27.8 MB
  • Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 27.8 MB
  • Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp4 26.9 MB
  • Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
[磁力链接] 添加时间:2024-01-17 大小:2.5 GB 最近下载:2025-10-01 热度:4818

Udemy - Advanced AI Deep Reinforcement Learning in Python (11.2024)

  • 6 - Deep Q-Learning/7 -Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • 6 - Deep Q-Learning/8 -Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • 9 - Setting Up Your Environment (FAQ by Student Request)/2 -Anaconda Environment Setup.mp4 195.2 MB
  • 7 - A3C/5 -A3C - Code pt 4.mp4 193.3 MB
  • 2 - The Basics of Reinforcement Learning/2 -Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • 7 - A3C/4 -A3C - Code pt 3.mp4 88.6 MB
  • 8 - Theano and Tensorflow Basics Review/4 -(Review) Tensorflow Neural Network in Code.mp4 82.2 MB
  • 10 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/3 -Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
  • 8 - Theano and Tensorflow Basics Review/1 -(Review) Theano Basics.mp4 81.9 MB
  • 1 - Introduction and Logistics/2 -Where to get the Code.mp4 76.8 MB
  • 7 - A3C/1 -A3C - Theory and Outline.mp4 75.2 MB
  • 8 - Theano and Tensorflow Basics Review/2 -(Review) Theano Neural Network in Code.mp4 71.0 MB
  • 2 - The Basics of Reinforcement Learning/11 -Q-Learning.mp4 70.3 MB
  • 8 - Theano and Tensorflow Basics Review/3 -(Review) Tensorflow Basics.mp4 66.5 MB
  • 7 - A3C/3 -A3C - Code pt 2.mp4 60.4 MB
  • 2 - The Basics of Reinforcement Learning/9 -Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 58.2 MB
  • 2 - The Basics of Reinforcement Learning/4 -Markov Decision Processes (MDPs).mp4 53.3 MB
  • 1 - Introduction and Logistics/1 -Introduction and Outline.mp4 52.9 MB
  • 7 - A3C/2 -A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • 2 - The Basics of Reinforcement Learning/6 -Value Functions and the Bellman Equation.mp4 50.5 MB
[磁力链接] 添加时间:2025-07-24 大小:3.1 GB 最近下载:2025-10-01 热度:129

Artificial Intelligence Reinforcement Learning in Python

  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/11. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/11. Bellman Examples.mp4 91.3 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/1. Beginners, halt! Stop here if you skipped ahead.mp4 87.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/12. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/8. Approximation Methods/7. Approximation Methods for Control Code.mp4 81.5 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.1 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/5. Iterative Policy Evaluation in Code.mp4 71.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/7. Code pt 2.mp4 68.5 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/6. Monte Carlo/5. Monte Carlo Control in Code.mp4 67.5 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/1. Welcome/5. Warmup.mp4 65.6 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/8. Approximation Methods/5. Approximation Methods for Prediction Code.mp4 65.3 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/5. Markov Decision Processes (MDPs).mp4 64.7 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/2. Iterative Policy Evaluation.mp4 63.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/5. Dynamic Programming/10. Policy Iteration in Code.mp4 59.1 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/12. Optimal Policy and Optimal Value Function (pt 1).mp4 58.8 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.6 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/2. Return of the Multi-Armed Bandit/12. UCB1 Theory.mp4 58.2 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/4. Markov Decision Proccesses/2. Gridworld.mp4 56.6 MB
  • [TutsNode.com] - Artificial Intelligence Reinforcement Learning in Python/10. Stock Trading Project with Reinforcement Learning/9. Code pt 4.mp4 55.5 MB
[磁力链接] 添加时间:2022-02-02 大小:4.5 GB 最近下载:2025-10-01 热度:6164

[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]

  • 6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
  • 3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
  • 6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
  • 5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
  • 6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
  • 3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
  • 6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
  • 5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
  • 6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
  • 3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
  • 6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
  • 4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
  • 6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
  • 3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
  • 5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB
[磁力链接] 添加时间:2021-04-05 大小:3.5 GB 最近下载:2025-10-01 热度:2368

Pluralsight Understanding Algorithms for Reinforcement Learning

  • 04.Using Reinforcement Learning Platforms/0406.Demo Q-learning to Balance a Pole on a Cart Simulation.mp4 15.5 MB
  • 01.Course Overview/0101.Course Overview.srt 2.9 kB
  • 02.Understanding the Reinforcement Learning Problem/0201.Module Overview .mp4 3.0 MB
  • 02.Understanding the Reinforcement Learning Problem/0201.Module Overview .srt 2.6 kB
  • 02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.mp4 3.6 MB
  • 02.Understanding the Reinforcement Learning Problem/0202.Prerequisites and Course Overview.srt 3.9 kB
  • 02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.mp4 7.5 MB
  • 02.Understanding the Reinforcement Learning Problem/0203.Supervised and Unsupervised Machine Learning Techniques.srt 7.8 kB
  • 02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.mp4 11.4 MB
  • 02.Understanding the Reinforcement Learning Problem/0204.Introducing Reinforcement Learning.srt 9.7 kB
  • 02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.mp4 5.7 MB
  • 02.Understanding the Reinforcement Learning Problem/0205.Reinforcement Learning vs. Supervised and Unsupervised Learning.srt 3.7 kB
  • 02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.mp4 9.8 MB
  • 02.Understanding the Reinforcement Learning Problem/0206.Modeling the Environment as a Markov Decision Process.srt 9.6 kB
  • 02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.mp4 4.1 MB
  • 02.Understanding the Reinforcement Learning Problem/0207.Reinforcement Learning Applications.srt 4.9 kB
  • 02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.mp4 11.0 MB
  • 02.Understanding the Reinforcement Learning Problem/0208.Understanding Policy Search.srt 11.0 kB
  • 02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.mp4 6.2 MB
  • 02.Understanding the Reinforcement Learning Problem/0209.Policy Search Algorithms.srt 6.3 kB
[磁力链接] 添加时间:2018-09-20 大小:242.9 MB 最近下载:2025-10-01 热度:3502


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