1989Ryan/llm-mcts
[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.
This project helps AI researchers and developers working on intelligent agents to build systems that can plan complex daily tasks more effectively. It takes high-level task descriptions and uses large language models to generate detailed, reasoned action sequences, improving the agent's decision-making capabilities. This is for those developing AI agents in simulated or real-world environments.
299 stars. No commits in the last 6 months.
Use this if you are a researcher or developer creating AI agents that need to perform sophisticated, multi-step planning and decision-making for everyday tasks.
Not ideal if you are looking for an off-the-shelf application to solve a problem directly, rather than a development tool for AI research.
Stars
299
Forks
25
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 16, 2024
Commits (30d)
0
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