AINeutralarXiv – CS AI · 6h ago6/10
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Structure-Induced Information for Rerooting Levin Tree Search
Researchers propose a learned 'rerooter' approach to improve Levin Tree Search for complex single-agent problems, eliminating the need for explicit subgoal generation. Three rerooter designs exploit state-space structure, learned heuristics, or hybrid signals to achieve scalable search with lower computational overhead and improved online training efficiency.