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InnoTree is an advanced agent system specifically designed to integrate Monte Carlo Tree Search (MCTS) techniques, enabling the efficient generation and exploration of innovative scientific ideas.

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InnoTree: Integrating MCTS with Large Language Models for Scientific Idea Generation

💡 InnoTree is an advanced agent system specifically designed to integrate Monte Carlo Tree Search (MCTS) techniques, enabling the efficient generation and exploration of innovative scientific ideas.

Quick Start

Cloning the repo

git clone https://github.com/zhejiangzhuque/InnoTree.git

Downloading the dependencies

conda create -n inno_tree python=3.10 -y && \
conda activate inno_tree
pip install -r requirements.txt

Running

python run.py --topic "Generate one scientific research idea based on multi-agent system" \
    --n_rollouts 10 \
    --n_exp 4 \
    --model "gpt-4o" \
    --sampling_method "best"

Todo List

  • Implementing RAG interface
  • More Action Node
  • Benchmarking
  • MCTS Visualization

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InnoTree is an advanced agent system specifically designed to integrate Monte Carlo Tree Search (MCTS) techniques, enabling the efficient generation and exploration of innovative scientific ideas.

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  • Python 99.4%
  • Shell 0.6%