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Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)

Richard S. Sutton

Grokking Deep Reinforcement Learning

Miguel Morales

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Maxim Lapan

Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)

Laura Graesser

Reinforcement Learning: Industrial Applications of Intelligent Agents

Phil Winder

Deep Reinforcement Learning in Action

Alexander Zai

Algorithms for Reinforcement Learning

Csaba Szepesvari

Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

Maxim Lapan

Artificial Intelligence: An Essential Beginner’s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future

Neil Wilkins

Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

Pratap Dangeti

Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

Sudharsan Ravichandiran

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Bharath Ramsundar

Artificial Intelligence: Reinforcement Learning in Python: Complete guide to artificial intelligence and machine learning, prep for deep reinforcement learning

LazyProgrammer

Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future

Neil Wilkins

Reinforcement Learning from Human Feedback: Alignment and post-training of LLMs

Nathan Lambert

AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python

Hadelin de Ponteves

Artificial Intelligence: A Comprehensive Guide to AI, Machine Learning, Internet of Things, Robotics, Deep Learning, Predictive Analytics, Neural Networks, Reinforcement Learning, and Our Future

Neil Wilkins

Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)

Marc G. Bellemare

Reinforcement Learning and Optimal Control

Dimitri P. Bertsekas

Advanced Deep Learning with Keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more

Rowel Atienza