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#artificial intelligence Preprint Sep 2026

Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-Training

Direct Diversity Optimization is presented, an offline post-training method that combines Divergence-Tree Collection with the Reference-Relative Target-Odds Objective (RTO) and achieves the strongest task success and successful strategy coverage among the compared post-training methods across BabyAI, BabaIsAI, and WebS...

Junwon Ko, Dong-Jae Lee, Minchan Kwon et al. · 0 citations

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