PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Code repository for the second edition of the Deep Reinforcement Learning Hands-On book, implementing RL algorithms in PyTorch.
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This repository contains Jupyter Notebook and Python code examples from the Packt book ‘Deep Reinforcement Learning Hands-On, Second Edition’. It covers deep reinforcement learning topics including policy gradients, DQN, A2C, PPO, and other RL algorithms. The code is maintained across multiple branches corresponding to different PyTorch versions, allowing readers to experiment with and run the book’s examples.