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Awesome Monte Carlo Tree Search
A curated list of Monte Carlo tree search papers with implementations.

About Awesome Monte Carlo Tree Search
Awesome Monte Carlo Tree Search Papers is a GitHub repository that maintains a curated list of Monte Carlo tree search papers with implementations. Each entry provides links to the paper and its implementation. Visitors browse the list to locate relevant research and follow the links to read papers and inspect code.
Pricing is not clearly stated.
Key features
- Lists MCTS papers from machine learning venues including NeurIPS and ICML
- Lists MCTS papers from computer vision venues including CVPR and ICCV
- Lists MCTS papers from artificial intelligence venues including AAAI, AISTATS, IJCAI and UAI
- Covers natural language processing, data, robotics and games venues including ACL, KDD, RAS and CIG
Awesome Monte Carlo Tree Search at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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