Algorithms for Reinforcement Learning

Foundations and Trends monograph covering DQN, policy gradient, actor-critic methods, and practical challenges in deep RL from McGill and Google Brain researchers.

Vincent François-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau

Accessible introduction to RL concepts covering Markov decision processes, Q-learning, and policy optimization with clear examples.

Amir Ghasemi