Artificial intelligence reinforcement learning in python 02 Return of the Multi Armed Bandit 005 Problem Setup and The Explore Exploit Dilemma mp4

Artificial intelligence reinforcement learning in python
02 Return of the Multi Armed Bandit 005 Problem Setup and The Explore Exploit Dilemma mp4

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/005 Problem Setup and The Explore-Exploit Dilemma.mp4	6.8 MB
/02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4	16.0 MB
/02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4	8.4 MB
/02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4	2.3 MB
/02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4	5.4 MB
/02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4	2.9 MB
/02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4	7.8 MB
/02 Return of the Multi-Armed Bandit/010 UCB1.mp4	8.6 MB
/02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4	11.1 MB
/01 Introduction and Outline/003 Where to get the Code.mp4	4.7 MB
/01 Introduction and Outline/001 Introduction and outline.mp4	10.6 MB
/08 Approximation Methods/067 Course Summary and Next Steps.mp4	13.9 MB
/04 Markov Decision Proccesses/026 The Markov Property.mp4	7.5 MB
/06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4	4.8 MB
/01 Introduction and Outline/002 What is Reinforcement Learning.mp4	23.0 MB
Showing first 15 files of 69 total files