PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition resource

Health v2 · maintenance only

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Adoption not part of the score

1288 stars · 563 forks observed · 2026-08-28

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

Companion code repository for the Packt book 'Deep Reinforcement Learning Hands-On, Second Edition', containing Jupyter Notebook examples of deep RL algorithms implemented in PyTorch. It is maintained to keep dependency versions compatible with newer PyTorch releases.

Use cases

• learn deep reinforcement learning from scratch
• example code for DQN and policy gradient methods
• pytorch reinforcement learning tutorials
• study RL algorithms with runnable notebooks
• hands-on practice with gym environments and RL

When to choose

• you are reading the book and want its code
• you want runnable PyTorch examples of classic deep RL algorithms
• you learn best by experimenting with notebooks

When to avoid

• you need a production RL library or framework
• you need support for recent Python or PyTorch versions beyond what's tested
• you want a maintained general-purpose RL toolkit

Facets

learning-resource · maturity maintenance

reinforcement-learning machine-learning deep-learning reinforcement-learning deep-learning machine-learning tutorials python cross-platform jupyter-notebook pytorch book-code packt rl-examples gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition")