[FreeTutorials.Us] artificial-intelligence-reinforcement-learning-in-python

磁链地址复制复制磁链成功

magnet:?xt=urn:btih:96FED53842FA799CB1AB8D706911036825EE5775

如发现链接(DMCA)违规请在线举报

在线播放复制链接

磁链详情

文件数目：71个文件
文件大小：592.52 MB
收录时间：2019-07-08
访问次数：4
相关内容：FreeTutorials

文件meta

09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4
43.92 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4
26.13 MB
09 Appendix/069 How to Code by Yourself part 1.mp4
24.53 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4
21.94 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4
15.23 MB
09 Appendix/070 How to Code by Yourself part 2.mp4
14.8 MB
08 Approximation Methods/067 Course Summary and Next Steps.mp4
13.24 MB
03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4
12.71 MB
05 Dynamic Programming/034 Iterative Policy Evaluation in Code.mp4
12.06 MB
05 Dynamic Programming/033 Gridworld in Code.mp4
11.46 MB
08 Approximation Methods/066 Semi-Gradient SARSA in Code.mp4
10.61 MB
02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4
10.57 MB
06 Monte Carlo/047 Monte Carlo Control in Code.mp4
10.17 MB
01 Introduction and Outline/001 Introduction and outline.mp4
10.1 MB
03 Build an Intelligent Tic-Tac-Toe Agent/021 Tic Tac Toe Code The Environment.mp4
10.05 MB
03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4
9.79 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4
9.47 MB
03 Build an Intelligent Tic-Tac-Toe Agent/023 Tic Tac Toe Code Main Loop and Demo.mp4
9.44 MB
06 Monte Carlo/046 Monte Carlo Control.mp4
9.26 MB
05 Dynamic Programming/038 Policy Iteration in Windy Gridworld.mp4
9.1 MB
03 Build an Intelligent Tic-Tac-Toe Agent/022 Tic Tac Toe Code The Agent.mp4
9.01 MB
07 Temporal Difference Learning/055 SARSA in Code.mp4
8.82 MB
06 Monte Carlo/043 Monte Carlo Policy Evaluation.mp4
8.75 MB
08 Approximation Methods/064 TD0 Semi-Gradient Prediction.mp4
8.35 MB
05 Dynamic Programming/041 Dynamic Programming Summary.mp4
8.31 MB
03 Build an Intelligent Tic-Tac-Toe Agent/024 Tic Tac Toe Summary.mp4
8.31 MB
02 Return of the Multi-Armed Bandit/010 UCB1.mp4
8.23 MB
07 Temporal Difference Learning/054 SARSA.mp4
8.2 MB
06 Monte Carlo/049 Monte Carlo Control without Exploring Starts in Code.mp4
8.05 MB
02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4
8.01 MB
06 Monte Carlo/044 Monte Carlo Policy Evaluation in Code.mp4
7.91 MB
06 Monte Carlo/045 Policy Evaluation in Windy Gridworld.mp4
7.81 MB
05 Dynamic Programming/037 Policy Iteration in Code.mp4
7.62 MB
02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4
7.48 MB
04 Markov Decision Proccesses/026 The Markov Property.mp4
7.18 MB
04 Markov Decision Proccesses/029 Value Functions.mp4
7.08 MB
04 Markov Decision Proccesses/027 Defining and Formalizing the MDP.mp4
6.64 MB
08 Approximation Methods/063 Monte Carlo Prediction with Approximation in Code.mp4
6.56 MB
02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4
6.47 MB
08 Approximation Methods/060 Linear Models for Reinforcement Learning.mp4
6.46 MB
08 Approximation Methods/059 Approximation Intro.mp4
6.46 MB
04 Markov Decision Proccesses/030 Optimal Policy and Optimal Value Function.mp4
6.31 MB
08 Approximation Methods/061 Features.mp4
6.24 MB
05 Dynamic Programming/039 Value Iteration.mp4
6.18 MB
03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4
6.11 MB
07 Temporal Difference Learning/052 TD0 Prediction.mp4
5.82 MB
06 Monte Carlo/050 Monte Carlo Summary.mp4
5.71 MB
07 Temporal Difference Learning/057 Q Learning in Code.mp4
5.42 MB
07 Temporal Difference Learning/053 TD0 Prediction in Code.mp4
5.32 MB
04 Markov Decision Proccesses/028 Future Rewards.mp4
5.17 MB