junhyukoh/deep-reinforcement-learning-papers
A curated list of recent deep reinforcement learning research papers organized by topic.
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This repository maintains a categorized collection of academic papers on deep reinforcement learning. Papers are organized into bookmarks spanning value methods, policy optimization, discrete and continuous control, robotics, games, and other RL subtopics. The list is sorted chronologically to highlight recent work. The repository serves as a reference bibliography for researchers and practitioners studying deep RL.
Frequently asked
- What is junhyukoh/deep-reinforcement-learning-papers?
- A curated list of recent deep reinforcement learning research papers organized by topic.
- Is deep-reinforcement-learning-papers open source?
- Yes — junhyukoh/deep-reinforcement-learning-papers is an open-source project tracked on heatdrop.
- How popular is deep-reinforcement-learning-papers?
- junhyukoh/deep-reinforcement-learning-papers has 2.2k stars on GitHub.
- Where can I find deep-reinforcement-learning-papers?
- junhyukoh/deep-reinforcement-learning-papers is on GitHub at https://github.com/junhyukoh/deep-reinforcement-learning-papers.