Artificial intelligence reinforcement learning in python | 508D18D0F2E7AE69A116B936BBAAC4252D92D3DB

Artificial intelligence reinforcement learning in python

Name	artificial-intelligence-reinforcement-learning-in-python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	580.1 MB
Total Files	69
Hash	508D18D0F2E7AE69A116B936BBAAC4252D92D3DB

/02 Return of the Multi-Armed Bandit/
007 Updating a Sample Mean.mp4	2.3 MB
006 Epsilon-Greedy.mp4	2.9 MB
009 Optimistic Initial Values.mp4	5.4 MB
005 Problem Setup and The Explore-Exploit Dilemma.mp4	6.8 MB
013 Nonstationary Bandits.mp4	7.8 MB
008 Comparing Different Epsilons.mp4	8.4 MB
010 UCB1.mp4	8.6 MB
012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4	11.1 MB
011 Bayesian Thompson Sampling.mp4	16.0 MB
/04 Markov Decision Proccesses/
031 MDP Summary.mp4	2.5 MB
025 Gridworld.mp4	3.5 MB
028 Future Rewards.mp4	5.4 MB
030 Optimal Policy and Optimal Value Function.mp4	6.6 MB
027 Defining and Formalizing the MDP.mp4	7.0 MB
029 Value Functions.mp4	7.4 MB
026 The Markov Property.mp4	7.5 MB
/07 Temporal Difference Learning/
051 Temporal Difference Intro.mp4	2.9 MB
058 TD Summary.mp4	4.1 MB
056 Q Learning.mp4	5.1 MB
053 TD0 Prediction in Code.mp4	5.6 MB
057 Q Learning in Code.mp4	5.7 MB
052 TD0 Prediction.mp4	6.1 MB
054 SARSA.mp4	8.6 MB
055 SARSA in Code.mp4	9.2 MB
/08 Approximation Methods/
062 Monte Carlo Prediction with Approximation.mp4	3.0 MB
065 Semi-Gradient SARSA.mp4	4.9 MB
061 Features.mp4	6.5 MB
059 Approximation Intro.mp4	6.8 MB
060 Linear Models for Reinforcement Learning.mp4	6.8 MB
063 Monte Carlo Prediction with Approximation in Code.mp4	6.9 MB
064 TD0 Semi-Gradient Prediction.mp4	8.8 MB
066 Semi-Gradient SARSA in Code.mp4	11.1 MB
067 Course Summary and Next Steps.mp4	13.9 MB
/05 Dynamic Programming/
036 Policy Iteration.mp4	3.3 MB
035 Policy Improvement.mp4	4.8 MB
032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4	5.1 MB
040 Value Iteration in Code.mp4	5.1 MB
039 Value Iteration.mp4	6.5 MB
037 Policy Iteration in Code.mp4	8.0 MB
041 Dynamic Programming Summary.mp4	8.7 MB
038 Policy Iteration in Windy Gridworld.mp4	9.5 MB
033 Gridworld in Code.mp4	12.0 MB
034 Iterative Policy Evaluation in Code.mp4	12.6 MB
/09 Appendix/
069 Where to get discount coupons and FREE deep learning material.mp4	4.2 MB
068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
/03 Build an Intelligent Tic-Tac-Toe Agent/
016 Notes on Assigning Rewards.mp4	4.4 MB
019 Tic Tac Toe Code Representing States.mp4	4.6 MB
018 Tic Tac Toe Code Outline.mp4	5.3 MB
014 Naive Solution to Tic-Tac-Toe.mp4	6.4 MB
024 Tic Tac Toe Summary.mp4	8.7 MB
022 Tic Tac Toe Code The Agent.mp4	9.4 MB
023 Tic Tac Toe Code Main Loop and Demo.mp4	9.9 MB
020 Tic Tac Toe Code Enumerating States Recursively.mp4	10.3 MB
021 Tic Tac Toe Code The Environment.mp4	10.5 MB
015 Components of a Reinforcement Learning System.mp4	13.3 MB
017 The Value Function and Your First Reinforcement Learning Algorithm.mp4	27.4 MB
/01 Introduction and Outline/
003 Where to get the Code.mp4	4.7 MB
004 Strategy for Passing the Course.mp4	9.9 MB
001 Introduction and outline.mp4	10.6 MB
002 What is Reinforcement Learning.mp4	23.0 MB
/06 Monte Carlo/
048 Monte Carlo Control without Exploring Starts.mp4	4.8 MB
042 Monte Carlo Intro.mp4	5.2 MB
050 Monte Carlo Summary.mp4	6.0 MB
045 Policy Evaluation in Windy Gridworld.mp4	8.2 MB
044 Monte Carlo Policy Evaluation in Code.mp4	8.3 MB
049 Monte Carlo Control without Exploring Starts in Code.mp4	8.4 MB
043 Monte Carlo Policy Evaluation.mp4	9.2 MB
046 Monte Carlo Control.mp4	9.7 MB
047 Monte Carlo Control in Code.mp4	10.7 MB
Total files 69