Udemy Practical Multi Armed Bandit Algorithms in Python | 31250FAF3B1DB419620C2AA5D15C6DE934AA3C31

Udemy Practical Multi Armed Bandit Algorithms in Python

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/
7. Building A Baseline Agent That Behaves Randomly.mp4	220.5 MB
1. Introduction to Reinforcement Learning & Multi-Armed Bandit Problems.srt	25.9 KB
2. Multi-Armed Bandit Problems.html	0.2 KB
3. Implementing Simulated MAB Environments in Python.mp4	134.0 MB
3. Implementing Simulated MAB Environments in Python.srt	34.3 KB
3.1 A Google Colab notebook for every code written in this course..html	0.1 KB
4. Estimating Action Values Through Sampling.mp4	58.3 MB
4. Estimating Action Values Through Sampling.srt	11.8 KB
5. Implementing Incremental Average In Code.mp4	73.1 MB
5. Implementing Incremental Average In Code.srt	15.9 KB
5.1 A Google Colab notebook for every code written in this course..html	0.1 KB
5.2 incremental_average.py	0.2 KB
6. Implementing Incremental Average For Non-Stationary Bandits.mp4	69.2 MB
6. Implementing Incremental Average For Non-Stationary Bandits.srt	12.8 KB
6.1 incremental_average.py	0.2 KB
6.2 A Google Colab notebook for every code written in this course..html	0.1 KB
1. Introduction to Reinforcement Learning & Multi-Armed Bandit Problems.mp4	74.0 MB
7. Building A Baseline Agent That Behaves Randomly.srt	48.5 KB
7.1 A Google Colab notebook for every code written in this course..html	0.1 KB
8. Why Are The Results Not Repeatable.mp4	31.6 MB
8. Why Are The Results Not Repeatable.srt	5.3 KB
8.1 A Google Colab notebook for every code written in this course..html	0.1 KB
9. Using Incremental Average To Estimate Action Values.html	0.2 KB
10. Implementing And Analysing A Greedy Agent.mp4	107.7 MB
10. Implementing And Analysing A Greedy Agent.srt	20.0 KB
10.1 A Google Colab notebook for every code written in this course..html	0.1 KB
11. Balancing Exploration & Exploitation With Epsilon Greedy Agents.mp4	144.3 MB
11. Balancing Exploration & Exploitation With Epsilon Greedy Agents.srt	26.3 KB
11.1 A Google Colab notebook for every code written in this course..html	0.1 KB
12. Controlling Exploration With A Decay.mp4	91.7 MB
12. Controlling Exploration With A Decay.srt	17.7 KB
12.1 A Google Colab notebook for every code written in this course..html	0.1 KB
13. Exploring Intelligently With Softmax Exploration.mp4	178.0 MB
13. Exploring Intelligently With Softmax Exploration.srt	28.6 KB
13.1 A Google Colab notebook for every code written in this course..html	0.1 KB
14. Being Optimistic Under Uncertainties.mp4	100.3 MB
14. Being Optimistic Under Uncertainties.srt	15.5 KB
14.1 A Google Colab notebook for every code written in this course..html	0.1 KB
15. Realistic Optimism Under Uncertainties.mp4	125.7 MB
15. Realistic Optimism Under Uncertainties.srt	21.5 KB
15.1 A Google Colab notebook for every code written in this course..html	0.1 KB
16. Strategies For Balancing Exploration & Exploitation.html	0.2 KB
Total files 42