Deep Reinforcement Learning

Springer

Deep Reinforcement Learning                      

Addison Wesley

Foundations of Deep Reinforcement Learning: Theory and Practice in Python

MIT Press

Reinforcement Learning, second edition: An Introduction

Deep Reinforcement Learning: Theory and Implementation with TensorFlow and PyTorch (English Edition)

Packt Publishing

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF (English Edition)

Packt Publishing

Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition (English Edition)

Manning

Grokking Deep Reinforcement Learning (English Edition)

Springer

Deep Reinforcement Learning: Fundamentals, Research and Applications (English Edition)

Apress

Deep Reinforcement Learning with Python: RLHF for Chatbots and Large Language Models

Packt Publishing

Deep Learning with TensorFlow and Keras: Build and deploy supervised, unsupervised, deep, and reinforcement learning models, 3rd Edition