tigerneil/awesome-deep-rl resource

Health v2 · maintenance only

Adoption not part of the score

1513 stars · 225 forks observed · 2026-08-28

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

A curated awesome-list of deep reinforcement learning resources, organizing papers, surveys, and frameworks across topics like exploration, hierarchical RL, multi-agent RL, and reward design. It serves as a research navigation guide with a visual landscape of the DRL field.

Use cases

• find papers on deep reinforcement learning
• learn about hierarchical and multi-agent RL
• get an overview of the deep RL research landscape
• find resources on exploration and reward design
• prepare for RL research or interviews
• discover offline and model-based RL papers

When to choose

• you need a curated entry point into deep RL literature
• you want paper recommendations organized by RL subfield
• you are surveying the state of deep RL research

When to avoid

• you need an RL library or environment to train agents in
• you need structured course content with assignments

Facets

learning-resource · maturity maintenance

machine-learning reinforcement-learning documentation reinforcement-learning artificial-intelligence machine-learning awesome-lists tutorials awesome-list deep-reinforcement-learning papers curated-list agi multi-agent-rl research-papers web-server

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For agents

markdown · JSON · MCP: product_card(name="tigerneil/awesome-deep-rl")