A heuristic search algorithm that intelligently builds decision trees by balancing exploration of untested paths with exploitation of promising strategies

A search algorithm that enhances language models by integrating tree search techniques, enabling systematic exploration of decision paths with environmental feedback to unify reasoning, acting, and planning capabilities.

Classic graph traversal algorithms: Breadth-First Search for level-by-level exploration and Depth-First Search for deep path exploration.