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TreeSeeker's branch-and-return mechanism enables agents to navigate complex search spaces more effectively, outperforming traditional methods by leveraging structured uncertainty management.
Stop obsessing over state prediction accuracy in text-based world models: aligning them with *behavior* yields better long-term planning and evaluation.
