Three rerooter designs (clustering-based, heuristic-based, hybrid) for √LTS enable scalable search in complex single-agent environments where explicit subgoal methods fail and achieve SOTA online training efficiency.
Fast and precise: Adjusting planning horizon with adaptive subgoal search.arXiv preprint arXiv:2206.00702,
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Structure-Induced Information for Rerooting Levin Tree Search
Three rerooter designs (clustering-based, heuristic-based, hybrid) for √LTS enable scalable search in complex single-agent environments where explicit subgoal methods fail and achieve SOTA online training efficiency.