Deep Reinforcement Learning Hands-On

Deep Reinforcement Learning Hands-On

A Practical and Easy-to-Follow Guide to RL from Q-learning and DQNs to PPO and RLHF

Practical RL techniques from Q-learning to PPO and RLHF with PyTorch.

About the book

Maxim Lapan's hands-on guide to deep reinforcement learning (3rd edition). Covers classical algorithms, policy gradients, actor-critic methods, RLHF, and practical applications with PyTorch implementation.

Summary

Summary coming soon!