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[ 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

[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:2025-10-02 热度:4423

[FreeCourseLab.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

  • 10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 5. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp4 57.3 MB
  • 3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
  • 3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
  • 10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt 45.0 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp4 44.4 MB
  • 10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
  • 10. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
  • 1. Welcome/1. Introduction.mp4 35.9 MB
  • 2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp4 32.5 MB
  • 10. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp4 25.7 MB
  • 6. Dynamic Programming/3. Designing Your RL Program.mp4 23.4 MB
  • 4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp4 20.7 MB
[磁力链接] 添加时间:2022-03-04 大小:1.6 GB 最近下载:2025-02-23 热度:55

[ DevCourseWeb.com ] Udemy - Practical Intro To Reinforcement Learning Using Robotics

  • ~Get Your Files Here !/4. The MAB Algorithm/3. Balancing Exploration & Exploitation.mp4 317.4 MB
  • ~Get Your Files Here !/5. Applying MAB In Robotics/1. Framing A Robot Behaviour As MAB.mp4 283.9 MB
  • ~Get Your Files Here !/3. RL In Robotics/1. Framing A Robotics Problem As RL.mp4 254.7 MB
  • ~Get Your Files Here !/4. The MAB Algorithm/1. Introducing The MAB Algorithm.mp4 250.6 MB
  • ~Get Your Files Here !/2. The RL Cycle/1. The RL Workflow.mp4 243.4 MB
  • ~Get Your Files Here !/1. Introduction/2. RL Explained.mp4 169.2 MB
  • ~Get Your Files Here !/6. Appendix/7. Controlling The Motors.mp4 167.4 MB
  • ~Get Your Files Here !/5. Applying MAB In Robotics/2. Implementing MAB For The Robot.mp4 129.5 MB
  • ~Get Your Files Here !/5. Applying MAB In Robotics/3. Demonstrating Automatic Learning On The Robot.mp4 122.6 MB
  • ~Get Your Files Here !/6. Appendix/3. Running Programs On The EV3.mp4 111.7 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 110.7 MB
  • ~Get Your Files Here !/4. The MAB Algorithm/2. Rewards Definitions For MAB Problems.mp4 105.9 MB
  • ~Get Your Files Here !/6. Appendix/8. Sweeping Angles At Specific Speeds.mp4 93.4 MB
  • ~Get Your Files Here !/6. Appendix/4. Sensing Touch.mp4 60.3 MB
  • ~Get Your Files Here !/6. Appendix/9. Running Rotations At Specific Speeds.mp4 51.3 MB
  • ~Get Your Files Here !/6. Appendix/1. Installing EV3 MicroPython.mp4 50.0 MB
  • ~Get Your Files Here !/6. Appendix/6. Controlling LED Lights.mp4 48.2 MB
  • ~Get Your Files Here !/6. Appendix/5. Waiting For Touch Events.mp4 44.0 MB
  • ~Get Your Files Here !/6. Appendix/10. Running Motors For Set Times.mp4 25.5 MB
  • ~Get Your Files Here !/6. Appendix/2. Installing The VS Code Extension.mp4 20.4 MB
[磁力链接] 添加时间:2022-03-07 大小:2.7 GB 最近下载:2025-09-30 热度:4216

[ 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

[GigaCourse.Com] Udemy - 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
  • 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 63.8 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:2022-03-29 大小:4.4 GB 最近下载:2025-09-23 热度:1956

[ FreeCourseWeb.com ] Udemy - Reinforcement Learning #1- Fundamentals.zip

  • [ FreeCourseWeb.com ] Udemy - Reinforcement Learning #1- Fundamentals.zip 264.0 MB
[磁力链接] 添加时间:2022-04-07 大小:264.0 MB 最近下载:2025-09-20 热度:358

[ 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:1857

[ 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

[ 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

[ FreeCourseWeb.com ] Udemy - Advanced Reinforcement Learning - policy gradient methods

  • ~Get Your Files Here !/10 - Advantage Actor Critic (A2C)/001 A2C.mp4 52.5 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/005 Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/001 Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/004 How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/001 Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/08 - PyTorch Lightning/001 PyTorch Lightning.mp4 33.6 MB
  • ~Get Your Files Here !/05 - Refresher N-step bootstrapping/003 Effect of changing n.mp4 29.4 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/002 Representing policies using neural networks.mp4 29.1 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/003 Artificial Neurons.mp4 26.9 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/002 The Markov decision process (MDP).mp4 26.3 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/002 Artificial Neural Networks.mp4 25.5 MB
  • ~Get Your Files Here !/03 - Refresher Monte Carlo methods/002 Solving control tasks with Monte Carlo methods.mp4 24.9 MB
  • ~Get Your Files Here !/06 - Refresher Brief introduction to Neural Networks/006 Neural Network optimization.mp4 24.5 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/007 Entropy regularization.mp4 24.3 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/001 Policy gradient methods.mp4 22.7 MB
  • ~Get Your Files Here !/03 - Refresher Monte Carlo methods/003 On-policy Monte Carlo control.mp4 21.4 MB
  • ~Get Your Files Here !/04 - Refresher Temporal difference methods/004 SARSA.mp4 18.6 MB
  • ~Get Your Files Here !/07 - Refresher REINFORCE/004 The policy gradient theorem.mp4 16.7 MB
  • ~Get Your Files Here !/02 - Refresher The Markov Decision Process (MDP)/006 Discount factor.mp4 15.5 MB
  • ~Get Your Files Here !/04 - Refresher Temporal difference methods/002 Solving control tasks with temporal difference methods.mp4 15.2 MB
[磁力链接] 添加时间:2024-01-02 大小:768.7 MB 最近下载:2025-10-03 热度:2087

[FreeCoursesOnline.Me] Udacity - Become a Deep Reinforcement Learning Expert v1.0.0

  • [FreeCoursesOnline.Me] Udacity - Become a Deep Reinforcement Learning Expert v1.0.0.zip 2.3 GB
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[磁力链接] 添加时间:2024-01-03 大小:2.3 GB 最近下载:2025-10-03 热度:16101

[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs

  • ~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4 72.5 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4 66.7 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4 66.4 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4 65.6 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4 57.2 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4 57.0 MB
  • ~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4 52.4 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4 52.3 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4 52.2 MB
  • ~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4 44.6 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4 43.3 MB
  • ~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4 40.6 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4 40.0 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4 38.4 MB
  • ~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4 38.2 MB
  • ~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4 38.1 MB
  • ~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4 36.8 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4 35.3 MB
  • ~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4 34.0 MB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 33.9 MB
[磁力链接] 添加时间:2024-01-06 大小:1.7 GB 最近下载:2025-09-30 热度:959

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:2025-10-02 热度:4819

[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:2024-01-22 大小:7.9 GB 最近下载:2025-07-11 热度:1258

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:2025-10-02 热度:5577

1-Udacity - Deep Reinforcement Learning Nanodegree nd893 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:2024-03-04 大小:2.5 GB 最近下载:2025-09-05 热度:2590

[Tutorialsplanet.NET] Udemy - Artificial Intelligence IV - Reinforcement Learning in Java

  • 6 - Pathfinding with QLearning/26 - Pathfinding with Qlearning III.mp4 115.0 MB
  • 3 - Markov Decision Process Value Iteration/15 - Value iteration implementation IV.mp4 97.6 MB
  • 7 - Exploration vs Exploitation Problem/32 - Narmed bandit problem implementation I.mp4 50.5 MB
  • 3 - Markov Decision Process Value Iteration/13 - Value iteration implementation II.mp4 44.9 MB
  • 6 - Pathfinding with QLearning/27 - Pathfinding with Qlearning IV.mp4 40.7 MB
  • 1 - Introduction/2 - Types of learning.mp4 38.0 MB
  • 6 - Pathfinding with QLearning/29 - Shortest path with Qlearning.mp4 37.8 MB
  • 3 - Markov Decision Process Value Iteration/14 - Value iteration implementation III.mp4 35.8 MB
  • 3 - Markov Decision Process Value Iteration/12 - Value iteration implementation I.mp4 35.8 MB
  • 3 - Markov Decision Process Value Iteration/11 - What is value iteration.mp4 34.0 MB
  • 2 - Markov Decision Process MDP Theory/4 - Markov decision processes basics I.mp4 32.0 MB
  • 5 - Q Learning Theory/21 - Q learning illustration.mp4 29.7 MB
  • 7 - Exploration vs Exploitation Problem/31 - Narmed bandit problem introduction.mp4 29.5 MB
  • 6 - Pathfinding with QLearning/25 - Pathfinding with Qlearning II.mp4 26.6 MB
  • 1 - Introduction/3 - Applications of reinforcement learning.mp4 24.3 MB
  • 5 - Q Learning Theory/20 - Q learning introduction the algorithm.mp4 22.7 MB
  • 3 - Markov Decision Process Value Iteration/16 - Value iteration implementation V.mp4 20.0 MB
  • 6 - Pathfinding with QLearning/24 - Pathfinding with Qlearning I.mp4 19.8 MB
  • 5 - Q Learning Theory/19 - Q learning introduction.mp4 16.9 MB
  • 8 - Deep Reinforcement Learning Theory/35 - What is deep Q learning.mp4 13.2 MB
[磁力链接] 添加时间:2024-03-12 大小:815.3 MB 最近下载:2025-10-02 热度:1225

advanced-ai-deep-reinforcement-learning-in-python

  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 88.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 82.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/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
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 81.9 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 71.0 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 66.5 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
  • [TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/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:2024-05-20 大小:3.4 GB 最近下载:2025-09-25 热度:649

Udemy - Reinforcement Learning Optimize Equations like a Pro 2024-5

  • 2. Course Content/1. 1 Solve x^2-25=0.mp4 414.7 MB
  • 2. Course Content/8. 8 Solve x + y^3 + z^2 - 78=0.mp4 282.1 MB
  • 2. Course Content/4. 4 Solve x^2+ y^2 - 50=0.mp4 265.4 MB
  • 2. Course Content/10. 10 Evaluate the Expression and find the values.mp4 194.3 MB
  • 2. Course Content/3. 3 Solve Faster -x^2-40=0.mp4 180.5 MB
  • 2. Course Content/11. 11 Evaluate the Expression and find the values with Streamlit.mp4 174.7 MB
  • 2. Course Content/6. 6 Solve 5x^4+ 3y^5 - 627=0.mp4 153.7 MB
  • 2. Course Content/7. 7 Solve x^2 + y^2 + z^2 - 20=0.mp4 153.7 MB
  • 2. Course Content/5. 5 Solve x^2+ y^2 - 40=0.mp4 147.3 MB
  • 2. Course Content/9. 9 Math Expression Evaluator with Streamlit.mp4 133.2 MB
  • 2. Course Content/2. 2 Solve x^2-40=0.mp4 113.5 MB
  • 1. Introduction/1. Introduction.mp4 29.9 MB
  • 2. Course Content/11.1 11.py 5.1 kB
  • 2. Course Content/10.1 10.py 3.6 kB
  • 2. Course Content/8.1 8.py 3.1 kB
  • 2. Course Content/7.1 7.py 3.0 kB
  • 2. Course Content/6.1 6.py 2.6 kB
  • 2. Course Content/5.1 5.py 2.5 kB
  • 2. Course Content/4.1 4.py 2.4 kB
  • 2. Course Content/3.1 3.py 1.9 kB
[磁力链接] 添加时间:2024-09-17 大小:2.2 GB 最近下载:2025-10-03 热度:440


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