Framework uses LLMs to map natural-language questions about MCTS to explanations based on tree statistics like visit counts and values, without hand-crafted formal logic.
Monte-carlo 6 tree search for multi-agent pathfinding: Preliminary results
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Toward Template-Free Explainability for Monte Carlo Tree Search
Framework uses LLMs to map natural-language questions about MCTS to explanations based on tree statistics like visit counts and values, without hand-crafted formal logic.