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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.18345659 |
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| _version_ | 1866902111437979648 |
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| author | Towell, Alex |
| author_facet | Towell, Alex |
| contents | A canonical Monte Carlo Tree Search implementation for LLM-based step-by-step reasoning. Explores multiple reasoning paths to find high-quality solutions using UCB1 exploration-exploitation balance, tree-building rollouts, and optional MCP tool integration. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18345659 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | MCTS-Reasoning: Monte Carlo Tree Search for LLM Reasoning Towell, Alex monte-carlo-tree-search mcts large-language-models llm reasoning artificial-intelligence chain-of-thought tree-search model-context-protocol tool-use A canonical Monte Carlo Tree Search implementation for LLM-based step-by-step reasoning. Explores multiple reasoning paths to find high-quality solutions using UCB1 exploration-exploitation balance, tree-building rollouts, and optional MCP tool integration. |
| title | MCTS-Reasoning: Monte Carlo Tree Search for LLM Reasoning |
| topic | monte-carlo-tree-search mcts large-language-models llm reasoning artificial-intelligence chain-of-thought tree-search model-context-protocol tool-use |
| url | https://doi.org/10.5281/zenodo.18345659 |