Reinforcement Learning Textbook
Machine Learning
2022-01-25 v1 Artificial Intelligence
Neural and Evolutionary Computing
Robotics
Abstract
This textbook covers principles behind main modern deep reinforcement learning algorithms that achieved breakthrough results in many domains from game AI to robotics. All required theory is explained with proofs using unified notation and emphasize on the differences between different types of algorithms and the reasons why they are constructed the way they are.
Keywords
Cite
@article{arxiv.2201.09746,
title = {Reinforcement Learning Textbook},
author = {Sergey Ivanov},
journal= {arXiv preprint arXiv:2201.09746},
year = {2022}
}
Comments
The text is in Russian