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

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3102 stars · 1321 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', containing Python examples built with PyTorch and OpenAI Gym. It is maintained by the book author to keep examples compatible with recent library versions.

Use cases

• learn deep reinforcement learning from scratch
• find DQN example code in PyTorch
• study policy gradient implementations
• get working RL examples updated for latest PyTorch
• practice reinforcement learning with OpenAI Gym
• follow along with a hands-on RL book

When to choose

• you are reading the book and want its runnable code
• you want practical, chapter-organized RL examples in PyTorch
• you learn best from working sample code

When to avoid

• you need a production-ready RL library or framework
• you want a maintained algorithm library rather than educational samples
• you need support for discontinued environments like OpenAI Universe

Facets

learning-resource · maturity active

machine-learning reinforcement-learning developer-tools reinforcement-learning machine-learning deep-learning tutorials python cross-platform pytorch openai-gym book-code deep-reinforcement-learning code-examples

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