Udemy Practical Multi Armed Bandit Algorithms in Python Course Lectures Implementing Simulated MAB Environments in Python mp4

Udemy Practical Multi Armed Bandit Algorithms in Python
Course Lectures Implementing Simulated MAB Environments in Python mp4

Name	Udemy - Practical Multi-Armed Bandit Algorithms in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.4 GB
Total Files	42
Hash	31250FAF3B1DB419620C2AA5D15C6DE934AA3C31

/1. Course Lectures/3. Implementing Simulated MAB Environments in Python.mp4	134.0 MB
/1. Course Lectures/3. Implementing Simulated MAB Environments in Python.srt	34.3 KB
/1. Course Lectures/5. Implementing Incremental Average In Code.mp4	73.1 MB
/1. Course Lectures/5. Implementing Incremental Average In Code.srt	15.9 KB
/1. Course Lectures/10. Implementing And Analysing A Greedy Agent.mp4	107.7 MB
/1. Course Lectures/10. Implementing And Analysing A Greedy Agent.srt	20.0 KB
/1. Course Lectures/14. Being Optimistic Under Uncertainties.mp4	100.3 MB
/1. Course Lectures/6. Implementing Incremental Average For Non-Stationary Bandits.mp4	69.2 MB
/1. Course Lectures/15. Realistic Optimism Under Uncertainties.mp4	125.7 MB
/1. Course Lectures/13. Exploring Intelligently With Softmax Exploration.mp4	178.0 MB
/1. Course Lectures/4. Estimating Action Values Through Sampling.mp4	58.3 MB
/1. Course Lectures/12. Controlling Exploration With A Decay.mp4	91.7 MB
/1. Course Lectures/14. Being Optimistic Under Uncertainties.srt	15.5 KB
/1. Course Lectures/2. Multi-Armed Bandit Problems.html	0.2 KB
/1. Course Lectures/6. Implementing Incremental Average For Non-Stationary Bandits.srt	12.8 KB
Showing first 15 files of 42 total files