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benedekrozemberczki/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
698 76 +0/wk
GitHub
atari deep-learning deep-q-learning learning machine-learning machine-learning-algorithms monte-carlo monte-carlo-tree-search policy-evaluation policy-gradient q-learning reinforcement-learning
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benedekrozemberczki/awesome-monte-carlo-tree-search-papers has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | awesome-monte-carlo-tree-search-papers | handson-unsupervised-learning | Books | classifai |
|---|---|---|---|---|
| Stars | 698 | 698 | 697 | 699 |
| Forks | 76 | 351 | 408 | 64 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | PHP |
| Sources | 1 | 1 | 1 | 1 |
| License | CC0-1.0 | N/A | MIT | GPL-2.0 |
Capability Radar vs handson-unsupervised-learning
awesome-monte-carlo-tree-search-papers
handson-unsupervised-learning
Maintenance Activity 55
Last code push 85 days ago.
Community Engagement 54
Fork-to-star ratio: 10.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under CC0-1.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.