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News/Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training

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arXiv:2609.10052v1 Announce Type: cross Abstract: LLM agents for sequential decision tasks are often post-trained with trajectory-level outcome labels, but such labels provide little supervision for preserving multiple successful branches from the same decision state. We study this problem as succes

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