junhyukoh/deep-reinforcement-learning-papers resource

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2196 stars · 552 forks observed · 2026-08-28

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

A curated list of recent academic papers on deep reinforcement learning, organized into manually-defined bookmarks such as value methods, policy methods, robotics, games, and exploration. It is a static reading list sorted by time, not a software tool.

Use cases

• find recent deep reinforcement learning papers
• reading list for learning deep RL
• survey papers on value-based and policy-based RL methods
• find RL papers on robotics and games
• discover papers on exploration and multi-agent RL

When to choose

• you want a curated, categorized bibliography of deep RL papers
• you are surveying the 2015-2016 deep RL literature
• you need pointers to papers on specific RL subtopics like MCTS or inverse RL

When to avoid

• you need runnable RL code or a library
• you want papers covering recent years beyond 2016
• you need tutorials or explanations rather than paper links

Facets

learning-resource · maturity abandoned

documentation reinforcement-learning machine-learning artificial-intelligence tutorials cross-platform awesome-list papers deep-reinforcement-learning reading-list research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="junhyukoh/deep-reinforcement-learning-papers")