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

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)

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)

Reinforcement Learning Hands-on: Code, Train, and Deploy Intelligent Agents. (English Edition)

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

Packt Publishing

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

Independently published

Hands-On Reinforcement Learning for Autonomous AI Agents: Practical Python Techniques for Real-World Solutions: 4