ZhiqingXiao/rl-book resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1030 stars · 332 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Source code repository for the book 'Reinforcement Learning: Theory and Python Implementation', providing Python implementations of RL algorithms from Bellman equations to PPO, RLHF, and AlphaZero using TensorFlow 2 and PyTorch. Each chapter includes Jupyter notebook code paired with Gym environments, runnable on a laptop.

Use cases

• learn reinforcement learning from theory to implementation
• study RLHF and PPO algorithm implementations
• find example code for DQN, SARSA, and actor-critic methods
• compare TensorFlow and PyTorch implementations of RL algorithms
• get exercise answers for a reinforcement learning textbook
• run classic Gym environments like CartPole and LunarLander with RL agents

When to choose

• you want a structured, book-based tutorial covering RL theory with runnable code
• you need side-by-side TensorFlow and PyTorch implementations of the same algorithms
• you want coverage of modern topics like RLHF and preference-based RL
• you are a student or self-learner working through RL on a laptop

When to avoid

• you need a production-ready RL library or framework
• you want a maintained software package with a license for reuse
• you need scalable distributed RL training on clusters
• you are looking for a general-purpose deep learning toolkit

Facets

learning-resource · maturity active

machine-learning reinforcement-learning deep-learning reinforcement-learning machine-learning tutorials education python cross-platform windows reinforcement-learning textbook openai-gym tensorflow pytorch jupyter-notebooks rlhf ppo deep-reinforcement-learning linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ZhiqingXiao/rl-book")