Deep Reinforcement Learning Hands-on

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

Packt Publishing

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

Packt Publishing

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

Independently published

Reinforcement Learning Hands-on: Code, Train, and Deploy Intelligent Agents.

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

Hands-On Reinforcement Learning for Autonomous AI Agents: Practical Python Techniques for Real-World Solutions (The Robust Agent Series Book 4) (English Edition)

Independently published

Deep Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

Practical Multi-Agent Reinforcement Learning: Hands-On Implementation with Python and Open-Source Tools (English Edition)

Hands-On Multi-Agent Reinforcement Learning with Python: Build Intelligent Agents Step by Step (English Edition)

Independently published

Reinforcement Learning for Beginners: A Step-by-Step Guide to Training Smart AI Agents