Home /Research /Reinforcement Learning Textbook
LEARNING

Reinforcement Learning Textbook

Sergey V. Ivanov

Year
2022
Citations
5
Access
Open access

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

Reinforcement learningMathematical proofNotationArtificial intelligenceComputer scienceReinforcementCognitive scienceMathematicsPsychology

Related papers

Browse all LEARNING papers