Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2
The machine learning consultancy: https://truetheta.io
Join my email list to get educational and useful articles (and nothing else!): https://mailchi.mp/truetheta/true-the...
Want to work together? See here: https://truetheta.io/about/#want-to-w...
Part two of a six part series on Reinforcement Learning. We discuss the Bellman Equations, Dynamic Programming and Generalized Policy Iteration.
SOCIAL MEDIA
LinkedIn : / dj-rich-90b91753
Twitter : / duanejrich
Github: https://github.com/Duane321
Enjoy learning this way? Want me to make more videos? Consider supporting me on Patreon: / mutualinformation
SOURCES
[1] R. Sutton and A. Barto. Reinforcement learning: An Introduction (2nd Ed). MIT Press, 2018.
[2] H. Hasselt, et al. RL Lecture Series, Deepmind and UCL, 2021, • DeepMind x UCL | Deep Learning Lectur...
SOURCE NOTES
The video covers the topics of Chapter 3 and 4 from [1]. The whole series teaches from [1]. [2] was a useful secondary resource.
TIMESTAMP
0:00 What We'll Learn
1:09 Review of Previous Topics
2:46 Definition of Dynamic Programming
3:05 Discovering the Bellman Equation
7:13 Bellman Optimality
8:41 A Grid View of the Bellman Equations
11:24 Policy Evaluation
13:58 Policy Improvement
15:55 Generalized Policy Iteration
17:55 A Beautiful View of GPI
18:14 The Gambler's Problem
20:42 Watch the Next Video!
Watch video Bellman Equations, Dynamic Programming, Generalized Policy Iteration | Reinforcement Learning Part 2 online without registration, duration hours minute second in high quality. This video was added by user Mutual Information 25 October 2022, don't forget to share it with your friends and acquaintances, it has been viewed on our site 63,13 once and liked it 1.6 thousand people.