reinforcement learning -移花宫 -武林禁地，闲人禁止入内

Packt Hands-on Reinforcement Learning with TensorFlow

05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
01.Understanding the Reinforcement Learning Framework/0102.Introduction to Reinforcement Learning.mp4 15.1 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
02.Training a Smartcab Using Q-Learning/0203.Introducing Reinforcement Q-Learning.mp4 14.0 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
04.Deep Reinforcement Learning with TensorFlow/0401.Introducing Deep Q-Networks.mp4 14.5 MB
04.Deep Reinforcement Learning with TensorFlow/0402.The DQN Training Algorithm.mp4 11.4 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB

[磁力链接] 添加时间:2018-09-08 大小:852.7 MB 最近下载:2025-10-02 热度:2573

[ CourseWikia.com ] Advanced AI - Deep Reinforcement Learning in Python (Updated 01 - 2021).zip

[ CourseWikia.com ] Advanced AI - Deep Reinforcement Learning in Python (Updated 01 - 2021).zip 2.9 GB

[磁力链接] 添加时间:2022-01-09 大小:2.9 GB 最近下载:2025-10-02 热度:2524

[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:2025-10-02 热度:2509

[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

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:2025-10-03 热度:2406

[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

[ 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

[ 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

[CourseClub.NET] Coursera - Practical Reinforcement Learning

001.Welcome/001. Why should you care.mp4 34.0 MB
001.Welcome/001. Why should you care.srt 15.8 kB
001.Welcome/002. Reinforcement learning vs all.mp4 11.3 MB
001.Welcome/002. Reinforcement learning vs all.srt 5.0 kB
002.Reinforcement Learning/003. Multi-armed bandit.mp4 18.7 MB
002.Reinforcement Learning/003. Multi-armed bandit.srt 7.4 kB
002.Reinforcement Learning/004. Decision process & applications.mp4 24.1 MB
002.Reinforcement Learning/004. Decision process & applications.srt 9.9 kB
003.Black box optimization/005. Markov Decision Process.mp4 18.9 MB
003.Black box optimization/005. Markov Decision Process.srt 8.5 kB
003.Black box optimization/006. Crossentropy method.mp4 37.8 MB
003.Black box optimization/006. Crossentropy method.srt 15.9 kB
003.Black box optimization/007. Approximate crossentropy method.mp4 20.2 MB
003.Black box optimization/007. Approximate crossentropy method.srt 8.4 kB
003.Black box optimization/008. More on approximate crossentropy method.mp4 24.0 MB
003.Black box optimization/008. More on approximate crossentropy method.srt 10.7 kB
004.All the cool stuff that isn't in the base track/009. Evolution strategies core idea.mp4 21.9 MB
004.All the cool stuff that isn't in the base track/009. Evolution strategies core idea.srt 7.5 kB
004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.mp4 18.6 MB
004.All the cool stuff that isn't in the base track/010. Evolution strategies math problems.srt 8.8 kB

[磁力链接] 添加时间:2018-10-14 大小:1.5 GB 最近下载:2025-10-02 热度:2300

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

01 Introduction and Outline/001 Introduction and outline.mp4 10.6 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.9 MB
02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.8 MB
02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4 8.4 MB
02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4 5.4 MB
02 Return of the Multi-Armed Bandit/010 UCB1.mp4 8.6 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 16.0 MB
02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4 7.8 MB
03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4 6.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4 13.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 27.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4 10.3 MB

[磁力链接] 添加时间:2018-02-24 大小:621.3 MB 最近下载:2025-09-21 热度:2159

[ 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

[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

[ 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 - Machine Learning - Beginner Reinforcement Learning in Python.zip

[ DevCourseWeb.com ] Udemy - Machine Learning - Beginner Reinforcement Learning in Python.zip 726.6 MB

[磁力链接] 添加时间:2021-03-07 大小:726.6 MB 最近下载:2025-09-29 热度:1869

[DesireCourse.Net] Udemy - Artificial Intelligence Reinforcement Learning in Python

11. Appendix FAQ/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
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 68.5 MB
3. High Level Overview of Reinforcement Learning/1. What is Reinforcement Learning.mp4 57.3 MB
10. Stock Trading Project with Reinforcement Learning/2. Data and Environment.mp4 54.5 MB
2. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp4 54.4 MB
2. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp4 53.7 MB
10. Stock Trading Project with Reinforcement Learning/5. Code pt 1.mp4 52.1 MB
10. Stock Trading Project with Reinforcement Learning/8. Code pt 4.mp4 51.5 MB
10. Stock Trading Project with Reinforcement Learning/3. How to Model Q for Q-Learning.mp4 47.1 MB
11. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
3. High Level Overview of Reinforcement Learning/3. Defining Some Terms.mp4 44.4 MB
11. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
11. Appendix FAQ/12. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
11. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. High Level Overview of Reinforcement Learning/2. On Unusual or Unexpected Strategies of RL.mp4 38.9 MB
1. Welcome/1. Introduction.mp4 35.9 MB
2. Return of the Multi-Armed Bandit/12. Bandit Summary, Real Data, and Online Learning.mp4 35.6 MB

[磁力链接] 添加时间:2021-03-21 大小:2.0 GB 最近下载:2025-09-30 热度:1865

[ 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 - 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

[DesireCourse.Net] 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
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 129.0 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
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.7 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:2021-03-08 大小:3.5 GB 最近下载:2025-10-03 热度:1813

[FreeCourseSite.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:2022-01-20 大小:4.4 GB 最近下载:2025-09-29 热度:1761

Reinforcement Learning Foundations

[TutsNode.com] - Reinforcement Learning Foundations/01 Reinforcement learning in a nutshell.mp4 22.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/04 Markov decision process.mp4 18.2 MB
[TutsNode.com] - Reinforcement Learning Foundations/16 SARSA.mp4 15.9 MB
[TutsNode.com] - Reinforcement Learning Foundations/03 A basic RL problem.mp4 15.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/06 Monte Carlo method.mp4 12.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/14 Additional modifications.mp4 11.1 MB
[TutsNode.com] - Reinforcement Learning Foundations/02 Terms in reinforcement learning.mp4 10.7 MB
[TutsNode.com] - Reinforcement Learning Foundations/17 SARSAMAX (Q-learning).mp4 9.6 MB
[TutsNode.com] - Reinforcement Learning Foundations/05 A basic RL solution.mp4 9.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/10 Exploration and exploitation.mp4 8.1 MB
[TutsNode.com] - Reinforcement Learning Foundations/18 Expected SARSA.mp4 7.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/12 First visit and every visit MC prediction.mp4 7.2 MB
[TutsNode.com] - Reinforcement Learning Foundations/22 Your reinforcement learning journey.mp4 6.5 MB
[TutsNode.com] - Reinforcement Learning Foundations/15 The setting.mp4 5.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/11 Monte Carlo prediction.mp4 4.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/19 Deep reinforcement learning.mp4 4.5 MB
[TutsNode.com] - Reinforcement Learning Foundations/20 Multi-agent reinforcement learning.mp4 4.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/21 Inverse reinforcement learning.mp4 4.3 MB
[TutsNode.com] - Reinforcement Learning Foundations/07 Temporal difference methods.mp4 4.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/08 Other RL algorithms.mp4 3.3 MB

[磁力链接] 添加时间:2021-05-10 大小:193.9 MB 最近下载:2025-10-02 热度:1721