[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.
Plan daily tasks more effectively by using a language model to guide decision-making.
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Free · no card · unsubscribe anytime[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.
llm-mcts has 302 stars on GitHub. It has been forked 27 times. llm-mcts is written mainly in Python. It has been in active development since 2023. llm-mcts is available under the Apache-2.0 license. Its main topics are large-language-models, neurips-2023, task-planning.
[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.
llm-mcts is an open-source project. It is released under the Apache-2.0 license.
Yes. llm-mcts is free and open source — you can use, modify and self-host it.
llm-mcts is available under the Apache-2.0 license.
llm-mcts is written mainly in Python.
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