A Course in Reinforcement Learning

Released on by Dimitri Bertsekas
preview-18

  • A Course in Reinforcement Learning Book Detail

  • Author : Dimitri Bertsekas
  • Release Date : 2023-06-21
  • Publisher : Athena Scientific
  • Genre : Computers
  • Pages : 421
  • ISBN 13 : 1886529493
  • File Size : 58,58 MB
DOWNLOAD BOOK

A Course in Reinforcement Learning by Dimitri Bertsekas PDF Summary

Book Description: These lecture notes were prepared for use in the 2023 ASU research-oriented course on Reinforcement Learning (RL) that I have offered in each of the last five years. Their purpose is to give an overview of the RL methodology, particularly as it relates to problems of optimal and suboptimal decision and control, as well as discrete optimization. There are two major methodological RL approaches: approximation in value space, where we approximate in some way the optimal value function, and approximation in policy space, whereby we construct a (generally suboptimal) policy by using optimization over a suitably restricted class of policies.The lecture notes focus primarily on approximation in value space, with limited coverage of approximation in policy space. However, they are structured so that they can be easily supplemented by an instructor who wishes to go into approximation in policy space in greater detail, using any of a number of available sources, including the author's 2019 RL book. While in these notes we deemphasize mathematical proofs, there is considerable related analysis, which supports our conclusions and can be found in the author's recent RL and DP books. These books also contain additional material on off-line training of neural networks, on the use of policy gradient methods for approximation in policy space, and on aggregation.

Disclaimer: www.yourbookbest.com does not own A Course in Reinforcement Learning books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Reinforcement Learning, second edition

Reinforcement Learning, second edition

File Size : 35,35 MB
Total View : 6609 Views
DOWNLOAD

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intellig

Deep Reinforcement Learning in Action

Deep Reinforcement Learning in Action

File Size : 41,41 MB
Total View : 993 Views
DOWNLOAD

Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences

Deep Reinforcement Learning Hands-On

Deep Reinforcement Learning Hands-On

File Size : 48,48 MB
Total View : 1444 Views
DOWNLOAD

Revised and expanded to include multi-agent methods, discrete optimization, RL in robotics, advanced exploration techniques, and more Key Features Second editio

A Course in Reinforcement Learning

A Course in Reinforcement Learning

File Size : 1,1 MB
Total View : 535 Views
DOWNLOAD

These lecture notes were prepared for use in the 2023 ASU research-oriented course on Reinforcement Learning (RL) that I have offered in each of the last five y