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种子名称： [FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python
文件类型： 视频
文件数目： 71个文件
文件大小： 592.52 MB
收录时间： 2018-3-4 18:21
已经下载： 3次
资源热度： 195
最近下载： 2024-12-7 21:34

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

01 Introduction and Outline/001 Introduction and outline.mp410.1MB

01 Introduction and Outline/002 What is Reinforcement Learning.mp421.94MB

01 Introduction and Outline/003 Where to get the Code.mp44.45MB

01 Introduction and Outline/004 Strategy for Passing the Course.mp49.47MB

02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp46.47MB

02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp42.78MB

02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp42.17MB

02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp48.01MB

02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp45.12MB

02 Return of the Multi-Armed Bandit/010 UCB1.mp48.23MB

02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp415.23MB

02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp410.57MB

02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp47.48MB

03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp46.11MB

03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp412.71MB

03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp44.22MB

03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp426.13MB

03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp45.03MB

03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp44.42MB

03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp49.79MB

03 Build an Intelligent Tic-Tac-Toe Agent/021 Tic Tac Toe Code The Environment.mp410.05MB

03 Build an Intelligent Tic-Tac-Toe Agent/022 Tic Tac Toe Code The Agent.mp49.01MB

03 Build an Intelligent Tic-Tac-Toe Agent/023 Tic Tac Toe Code Main Loop and Demo.mp49.44MB

03 Build an Intelligent Tic-Tac-Toe Agent/024 Tic Tac Toe Summary.mp48.31MB

04 Markov Decision Proccesses/025 Gridworld.mp43.36MB

04 Markov Decision Proccesses/026 The Markov Property.mp47.18MB

04 Markov Decision Proccesses/027 Defining and Formalizing the MDP.mp46.64MB

04 Markov Decision Proccesses/028 Future Rewards.mp45.17MB

04 Markov Decision Proccesses/029 Value Functions.mp47.08MB

04 Markov Decision Proccesses/030 Optimal Policy and Optimal Value Function.mp46.31MB

04 Markov Decision Proccesses/031 MDP Summary.mp42.41MB

05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp44.83MB

05 Dynamic Programming/033 Gridworld in Code.mp411.46MB

05 Dynamic Programming/034 Iterative Policy Evaluation in Code.mp412.06MB

05 Dynamic Programming/035 Policy Improvement.mp44.53MB

05 Dynamic Programming/036 Policy Iteration.mp43.13MB

05 Dynamic Programming/037 Policy Iteration in Code.mp47.62MB

05 Dynamic Programming/038 Policy Iteration in Windy Gridworld.mp49.1MB

05 Dynamic Programming/039 Value Iteration.mp46.18MB

05 Dynamic Programming/040 Value Iteration in Code.mp44.89MB

05 Dynamic Programming/041 Dynamic Programming Summary.mp48.31MB

06 Monte Carlo/042 Monte Carlo Intro.mp44.97MB

06 Monte Carlo/043 Monte Carlo Policy Evaluation.mp48.75MB

06 Monte Carlo/044 Monte Carlo Policy Evaluation in Code.mp47.91MB

06 Monte Carlo/045 Policy Evaluation in Windy Gridworld.mp47.81MB

06 Monte Carlo/046 Monte Carlo Control.mp49.26MB

06 Monte Carlo/047 Monte Carlo Control in Code.mp410.17MB

06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp44.62MB

06 Monte Carlo/049 Monte Carlo Control without Exploring Starts in Code.mp48.05MB

06 Monte Carlo/050 Monte Carlo Summary.mp45.71MB

07 Temporal Difference Learning/051 Temporal Difference Intro.mp42.72MB

07 Temporal Difference Learning/052 TD0 Prediction.mp45.82MB

07 Temporal Difference Learning/053 TD0 Prediction in Code.mp45.32MB

07 Temporal Difference Learning/054 SARSA.mp48.2MB

07 Temporal Difference Learning/055 SARSA in Code.mp48.82MB

07 Temporal Difference Learning/056 Q Learning.mp44.84MB

07 Temporal Difference Learning/057 Q Learning in Code.mp45.42MB

07 Temporal Difference Learning/058 TD Summary.mp43.94MB

08 Approximation Methods/059 Approximation Intro.mp46.46MB

08 Approximation Methods/060 Linear Models for Reinforcement Learning.mp46.46MB

08 Approximation Methods/061 Features.mp46.24MB

08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp42.84MB

08 Approximation Methods/063 Monte Carlo Prediction with Approximation in Code.mp46.56MB

08 Approximation Methods/064 TD0 Semi-Gradient Prediction.mp48.35MB

08 Approximation Methods/065 Semi-Gradient SARSA.mp44.7MB

08 Approximation Methods/066 Semi-Gradient SARSA in Code.mp410.61MB

08 Approximation Methods/067 Course Summary and Next Steps.mp413.24MB

09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp443.92MB

09 Appendix/069 How to Code by Yourself part 1.mp424.53MB

09 Appendix/070 How to Code by Yourself part 2.mp414.8MB

09 Appendix/071 Where to get discount coupons and FREE deep learning material.mp44.02MB