PacktPublishing/Deep-Reinforcement-Learning-Hands-On
A deep RL textbook repo that admits its bugs
Chapter-by-chapter PyTorch code for Max Lapan’s deep RL book, actively maintained as PyTorch and OpenAI Gym evolve.
Not currently ranked — collecting fresh signals.
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What it does
This repository holds the code samples for Deep Reinforcement Learning Hands-On, a Packt book by Max Lapan. It provides chapter-by-chapter PyTorch implementations of reinforcement learning fundamentals and advanced methods, applied to Atari games, stock trading, chatbots, and grid-world environments. The author maintains the repo against newer library versions rather than leaving it to fossilize.
The interesting bit
Textbook companion repos usually die after publication; this one documents its own decay. The README openly notes discontinued dependencies like OpenAI Universe, tracks major refactors with tags and branches, and publishes errata for the print edition. That transparency about bit-rot is more educational than the code itself.
Key highlights
- Covers the full RL arc from tabular methods and DQN to A3C, TRPO, PPO, and AlphaGo Zero
- Includes offbeat domains: stock trading, chatbot training, and web navigation
- Explicit errata correcting book text (e.g., FrozenLake action spaces)
- Branches preserve the original 2018 release alongside updated
mastercode - Author-maintained with acknowledged dependency drift
Caveats
- Requires Python 3.6, which is well past end-of-life
- OpenAI Universe is discontinued, leaving Chapter 13 examples broken
- The author warns that bugs are inevitable and code may differ from the book text
Verdict
Useful if you are working through the book and want living, if imperfect, reference code. Not a standalone framework for production RL work.
Frequently asked
- What is PacktPublishing/Deep-Reinforcement-Learning-Hands-On?
- Chapter-by-chapter PyTorch code for Max Lapan’s deep RL book, actively maintained as PyTorch and OpenAI Gym evolve.
- Is Deep-Reinforcement-Learning-Hands-On open source?
- Yes — PacktPublishing/Deep-Reinforcement-Learning-Hands-On is open source, released under the MIT license.
- What language is Deep-Reinforcement-Learning-Hands-On written in?
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On is primarily written in Python.
- How popular is Deep-Reinforcement-Learning-Hands-On?
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On has 3.1k stars on GitHub.
- Where can I find Deep-Reinforcement-Learning-Hands-On?
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On is on GitHub at https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On.