SGA-MCTS distills MCTS trajectories into de-lexicalized State-Goal-Action atoms for hybrid retrieval, enabling open-weight LLMs to match frontier model performance on complex planning without fine-tuning.
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SGA-MCTS: Decoupling Planning from Execution via Training-Free Atomic Experience Retrieval
SGA-MCTS distills MCTS trajectories into de-lexicalized State-Goal-Action atoms for hybrid retrieval, enabling open-weight LLMs to match frontier model performance on complex planning without fine-tuning.