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[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

  • 9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 3. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 108.8 MB
  • 4. Markov Decision Proccesses/7. Bellman Examples.mp4 91.3 MB
  • 9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 2. Return of the Multi-Armed Bandit/7. Bayesian Thompson Sampling.mp4 54.4 MB
  • 9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 9. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 9. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
  • 9. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
  • 9. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
  • 1. Introduction and Outline/2. What is Reinforcement Learning.mp4 23.0 MB
  • 4. Markov Decision Proccesses/5. Value Function Introduction.mp4 20.7 MB
  • 9. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
  • 9. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
  • 8. Approximation Methods/9. Course Summary and Next Steps.mp4 13.9 MB
  • 3. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp4 13.3 MB
  • 5. Dynamic Programming/3. Iterative Policy Evaluation in Code.mp4 12.7 MB
  • 5. Dynamic Programming/2. Gridworld in Code.mp4 12.0 MB
  • 8. Approximation Methods/8. Semi-Gradient SARSA in Code.mp4 11.1 MB
  • 2. Return of the Multi-Armed Bandit/8. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
[磁力链接] 添加时间:2021-03-16 大小:1.3 GB 最近下载:2025-09-28 热度:3148

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

[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

[ 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

[ 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

[ 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

[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

[FreeTutorials.Us] 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:2017-08-20 大小:621.3 MB 最近下载:2025-09-02 热度:1093

artificial-intelligence-reinforcement-learning-in-python

  • 02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
  • 04 Markov Decision Proccesses/031 MDP Summary.mp4 2.5 MB
  • 07 Temporal Difference Learning/051 Temporal Difference Intro.mp4 2.9 MB
  • 02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
  • 08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp4 3.0 MB
  • 05 Dynamic Programming/036 Policy Iteration.mp4 3.3 MB
  • 04 Markov Decision Proccesses/025 Gridworld.mp4 3.5 MB
  • 07 Temporal Difference Learning/058 TD Summary.mp4 4.1 MB
  • 09 Appendix/069 Where to get discount coupons and FREE deep learning material.mp4 4.2 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/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
  • 01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
  • 05 Dynamic Programming/035 Policy Improvement.mp4 4.8 MB
  • 06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4 4.8 MB
  • 08 Approximation Methods/065 Semi-Gradient SARSA.mp4 4.9 MB
  • 05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 5.1 MB
  • 07 Temporal Difference Learning/056 Q Learning.mp4 5.1 MB
  • 05 Dynamic Programming/040 Value Iteration in Code.mp4 5.1 MB
  • 06 Monte Carlo/042 Monte Carlo Intro.mp4 5.2 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
[磁力链接] 添加时间:2017-06-03 大小:580.1 MB 最近下载:2025-09-28 热度:486

[UdemyCourseDownloader] Advanced AI Deep Reinforcement Learning in Python

  • 07 Appendix/044 Environment Setup.mp4 46.0 MB
  • udemycoursedownloader.com.url 132 Bytes
  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
[磁力链接] 添加时间:2018-11-27 大小:547.6 MB 最近下载:2025-05-16 热度:687

[FreeTutorials.Us] deep-reinforcement-learning-in-python

  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 02 Background Review/010 Review of Deep Learning.mp4 11.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/011 OpenAI Gym Tutorial.mp4 9.1 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/012 Random Search.mp4 10.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/019 RBF Networks with CartPole Code.mp4 9.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
[磁力链接] 添加时间:2017-08-18 大小:547.6 MB 最近下载:2025-09-15 热度:978

[FreeTutorials.Us] deep-reinforcement-learning-in-python

  • 07 Appendix/044 Environment Setup.mp4 46.0 MB
  • 07 Appendix/045 How to Code by Yourself part 1.mp4 25.7 MB
  • 05 Policy Gradients/035 Mountain Car Continuous Tensorflow.mp4 21.1 MB
  • 06 Deep Q-Learning/042 Deep Q-Learning in Theano for Breakout.mp4 21.0 MB
  • 05 Policy Gradients/034 Mountain Car Continuous Theano.mp4 20.0 MB
  • 05 Policy Gradients/030 Policy Gradient in TensorFlow for CartPole.mp4 18.8 MB
  • 05 Policy Gradients/029 Policy Gradient Methods.mp4 18.8 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/016 RBF Neural Networks.mp4 17.3 MB
  • 01 Introduction and Logistics/001 Introduction and Outline.mp4 16.6 MB
  • 06 Deep Q-Learning/041 Deep Q-Learning in Tensorflow for Breakout.mp4 16.5 MB
  • 06 Deep Q-Learning/038 Deep Q-Learning in Tensorflow for CartPole.mp4 15.7 MB
  • 07 Appendix/046 How to Code by Yourself part 2.mp4 15.5 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/015 CartPole with Bins Code.mp4 15.4 MB
  • 06 Deep Q-Learning/037 Deep Q-Learning Techniques.mp4 15.1 MB
  • 01 Introduction and Logistics/003 How to Succeed in this Course.mp4 15.1 MB
  • 06 Deep Q-Learning/039 Deep Q-Learning in Theano for CartPole.mp4 14.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/017 RBF Networks with Mountain Car Code.mp4 14.4 MB
  • 05 Policy Gradients/031 Policy Gradient in Theano for CartPole.mp4 14.1 MB
  • 02 Background Review/005 Review of Markov Decision Processes.mp4 12.8 MB
  • 04 TD Lambda/026 TD Lambda.mp4 12.3 MB
[磁力链接] 添加时间:2021-03-11 大小:547.6 MB 最近下载:2024-09-15 热度:289

deep-reinforcement-learning-in-python

  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/018 RBF Networks with CartPole Theory.mp4 3.2 MB
  • 04 TD Lambda/028 TD Lambda Summary.mp4 3.8 MB
  • 02 Background Review/009 Review of Approximation Methods for Reinforcement Learning.mp4 3.8 MB
  • 07 Appendix/045 Where to get Udemy coupons and FREE deep learning material.mp4 4.2 MB
  • 02 Background Review/004 Review Intro.mp4 4.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/013 Saving a Video.mp4 4.8 MB
  • 04 TD Lambda/024 N-Step Methods.mp4 5.3 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/021 Tensorflow Warmup.mp4 5.3 MB
  • 01 Introduction and Logistics/002 Where to get the Code.mp4 5.4 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/023 OpenAI Gym Section Summary.mp4 5.6 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/020 Theano Warmup.mp4 6.1 MB
  • 06 Deep Q-Learning/036 Deep Q-Learning Intro.mp4 6.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/022 Plugging in a Neural Network.mp4 6.2 MB
  • 03 OpenAI Gym and Basic Reinforcement Learning Techniques/014 CartPole with Bins Theory.mp4 6.3 MB
  • 02 Background Review/007 Review of Monte Carlo Methods.mp4 6.5 MB
  • 05 Policy Gradients/033 Mountain Car Continuous Specifics.mp4 6.8 MB
  • 02 Background Review/006 Review of Dynamic Programming.mp4 6.8 MB
  • 05 Policy Gradients/032 Continuous Action Spaces.mp4 6.9 MB
  • 02 Background Review/008 Review of Temporal Difference Learning.mp4 7.5 MB
  • 06 Deep Q-Learning/043 Partially Observable MDPs.mp4 8.0 MB
[磁力链接] 添加时间:2017-05-30 大小:506.4 MB 最近下载:2025-09-09 热度:115

[HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip

  • [HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip 435.3 MB
[磁力链接] 添加时间:2018-02-05 大小:435.3 MB 最近下载:2025-05-21 热度:21

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

  • [DesireCourse.Com] Udemy - Artificial Intelligence Reinforcement Learning in Python.zip 434.0 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2021-04-28 大小:434.0 MB 最近下载:2025-09-30 热度:1439

[HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip

  • [HiOrla.com] artificial-intelligence-reinforcement-learning-in-python.zip 434.0 MB
[磁力链接] 添加时间:2018-02-19 大小:434.0 MB 最近下载:2025-02-17 热度:66

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

  • [DesireCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python.zip 404.0 MB
  • [DesireCourse.Com].txt 828 Bytes
  • [DesireCourse.Com].url 51 Bytes
[磁力链接] 添加时间:2018-09-14 大小:404.0 MB 最近下载:2025-07-31 热度:3787

[FreeCoursesOnline.Me] [Packt] Hands-On Reinforcement Learning with Java [FCO]

  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0505.Starting Program and Gathering Results.mp4 47.5 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0101.The Course Overview.mp4 26.6 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0304.Configuring RL4J Algorithm for Cliff Walking Problem.mp4 24.6 MB
  • Exercise Files/exercise_files.zip 22.8 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0205.Running Cartpole and Validating Results.mp4 21.1 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0305.Starting QLearningDiscreteDense and Saving Results.mp4 20.8 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0102.Main Principles of Reinforcement Learning.mp4 20.4 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0103.Adding DL4J with RL4J to Our Project.mp4 19.1 MB
  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0503.Configuring Reinforcement Learning Program Using A3C Configuration.mp4 16.1 MB
  • 04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0403.Leveraging QLearningDiscreteDense from RL4J API.mp4 14.7 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0303.Loading Cliff Walking Simulation.mp4 14.7 MB
  • 03.Using Project Malmo – Reinforcement Learning Leveraging Dynamic Programming/0301.Adding Malmo Library to Our RL4J Project.mp4 14.4 MB
  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0504.Using A3C Technique with ActorCriticFactorySeparateStdDense.mp4 13.9 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0204.Using GymEnv Library from RL4J to Simulate Solution.mp4 13.6 MB
  • 01.Deep Dive into Reinforcement Learning with DL4J – RL4J/0105.Configuring Reinforcement Learning Model with QLearning.QLConfiguration.mp4 13.5 MB
  • 04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0404.Performing Stock Prediction Training and Validating Results.mp4 12.6 MB
  • 04.Creating Decision Process for Stock Prediction with Rewards Using Q-Learning/0402.Creating Configuration for Stock Prediction Learning.mp4 10.7 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0202.Leveraging Markov Chain in Our Cartpole Solution.mp4 10.5 MB
  • 02.Solving Cartpole with Markov Decision Processes (MDPs)/0203.Using QLConfiguration to Configure Our Model.mp4 9.9 MB
  • 05.Leveraging Monte Carlo Tree Searches and Temporal Difference (TD) in RL/0502.Setting Up A3C Learning Environment.mp4 9.0 MB
[磁力链接] 添加时间:2022-01-27 大小:383.1 MB 最近下载:2025-08-27 热度:1216

[ 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


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