FreeCourseSite com Udemy Artificial Intelligence Reinforcement Learning in Python

FreeCourseSite com Udemy Artificial Intelligence Reinforcement Learning in Python

Name	[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	621.3 MB
Total Files	75
Hash	23814B5E3B355CE8DA598B08B02DC855CEEB3160

/01 Introduction and Outline/
001 Introduction and outline.mp4	10.6 MB
002 What is Reinforcement Learning.mp4	23.0 MB
003 Where to get the Code.mp4	4.7 MB
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
006 Epsilon-Greedy.mp4	2.9 MB
007 Updating a Sample Mean.mp4	2.3 MB
008 Comparing Different Epsilons.mp4	8.4 MB
009 Optimistic Initial Values.mp4	5.4 MB
010 UCB1.mp4	8.6 MB
011 Bayesian Thompson Sampling.mp4	16.0 MB
012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4	11.1 MB
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
015 Components of a Reinforcement Learning System.mp4	13.3 MB
016 Notes on Assigning Rewards.mp4	4.4 MB
017 The Value Function and Your First Reinforcement Learning Algorithm.mp4	27.4 MB
018 Tic Tac Toe Code Outline.mp4	5.3 MB
019 Tic Tac Toe Code Representing States.mp4	4.6 MB
020 Tic Tac Toe Code Enumerating States Recursively.mp4	10.3 MB
021 Tic Tac Toe Code The Environment.mp4	10.5 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
024 Tic Tac Toe Summary.mp4	8.7 MB
/04 Markov Decision Proccesses/
025 Gridworld.mp4	3.5 MB
026 The Markov Property.mp4	7.5 MB
027 Defining and Formalizing the MDP.mp4	7.0 MB
028 Future Rewards.mp4	5.4 MB
029 Value Functions.mp4	7.4 MB
030 Optimal Policy and Optimal Value Function.mp4	6.6 MB
031 MDP Summary.mp4	2.5 MB
/05 Dynamic Programming/
032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4	5.1 MB
033 Gridworld in Code.mp4	12.0 MB
034 Iterative Policy Evaluation in Code.mp4	12.6 MB
035 Policy Improvement.mp4	4.8 MB
036 Policy Iteration.mp4	3.3 MB
037 Policy Iteration in Code.mp4	8.0 MB
038 Policy Iteration in Windy Gridworld.mp4	9.5 MB
039 Value Iteration.mp4	6.5 MB
040 Value Iteration in Code.mp4	5.1 MB
041 Dynamic Programming Summary.mp4	8.7 MB
/06 Monte Carlo/
042 Monte Carlo Intro.mp4	5.2 MB
043 Monte Carlo Policy Evaluation.mp4	9.2 MB
044 Monte Carlo Policy Evaluation in Code.mp4	8.3 MB
045 Policy Evaluation in Windy Gridworld.mp4	8.2 MB
046 Monte Carlo Control.mp4	9.7 MB
047 Monte Carlo Control in Code.mp4	10.7 MB
048 Monte Carlo Control without Exploring Starts.mp4	4.8 MB
049 Monte Carlo Control without Exploring Starts in Code.mp4	8.4 MB
050 Monte Carlo Summary.mp4	6.0 MB
/07 Temporal Difference Learning/
051 Temporal Difference Intro.mp4	2.9 MB
052 TD0 Prediction.mp4	6.1 MB
053 TD0 Prediction in Code.mp4	5.6 MB
054 SARSA.mp4	8.6 MB
055 SARSA in Code.mp4	9.2 MB
056 Q Learning.mp4	5.1 MB
057 Q Learning in Code.mp4	5.7 MB
058 TD Summary.mp4	4.1 MB
/08 Approximation Methods/
059 Approximation Intro.mp4	6.8 MB
060 Linear Models for Reinforcement Learning.mp4	6.8 MB
061 Features.mp4	6.5 MB
062 Monte Carlo Prediction with Approximation.mp4	3.0 MB
063 Monte Carlo Prediction with Approximation in Code.mp4	6.9 MB
064 TD0 Semi-Gradient Prediction.mp4	8.8 MB
065 Semi-Gradient SARSA.mp4	4.9 MB
066 Semi-Gradient SARSA in Code.mp4	11.1 MB
067 Course Summary and Next Steps.mp4	13.9 MB
/09 Appendix/
068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
069 How to Code by Yourself part 1.mp4	25.7 MB
070 How to Code by Yourself part 2.mp4	15.5 MB
071 Where to get discount coupons and FREE deep learning material.mp4	4.2 MB
/
[FreeCourseSite.com].txt	1.1 KB
[FreeCourseSite.com].url	0.1 KB
[HaxTech.me].txt	1.1 KB
[HaxTech.me].url	0.1 KB
Total files 75