Enhancing Mathematical Reasoning In Llms: Integrating Monte Carlo Tree Search With Self-refinement

The MCT Self-Refine (MCTSr) algorithm combines LLMs with Monte Carlo Tree Search (MCTS) to enhance mathematical reasoning and decision-making in complex tasks. It addresses the stochastic nature of LLM outputs and significantly boosts success rates in solving Olympiad-level math problems. MCTS has been effectively applied in diverse domains, and recent innovations include integrating it with physics-informed neural networks for dynamic robotics tasks.