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)

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

Packt Publishing

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games (English Edition)

Independently published

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

Independently published

Reinforcement Learning: Teaching AI to Make Decisions (AI from Scratch : Step-by-Step Guide to Mastering Artificial Intelligence)

Packt Publishing

Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow (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)

Independently published

Reinforcement Learning for AI Agents: Training Intelligent Systems: 3 (Mastering AI Agents: From Theory to Deployment)