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Preprint Sep 2026

VISTA: Internalizing Collective Visual Experience via On-Policy Distillation for Active Multimodal Agents

Active multimodal agents use visual tools to acquire task-relevant evidence while reasoning. Although reinforcement learning samples multiple interaction trajectories per input, outcome-based objectives primarily use the group to estimate scalar advantages, leaving complementary visual discoveries underused. We introdu...

Zheng Jiang, Hou-De Qian, Yi-Ming Chen et al. · 0 citations
Preprint Sep 2026

Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL

ELBO-based reinforcement learning offers a sampler-agnostic approach to fine-tuning flow matching models with reward feedback. Timestep weighting in ELBO-based RL has large impact on performance, and it also provides a unified view (as we show in this work) to understand prediction losses heuristically chosen in prior...

Qin-Wei Ma, Jing-Zhe Shi, Si-Min Fan et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Timestep Weighting: A Hidden Key to Effective ELBO-Based Flow-Matching RL

ELBO-based reinforcement learning offers a sampler-agnostic approach to fine-tuning flow matching models with reward feedback. Timestep weighting in ELBO-based RL has large impact on performance, and it also provides a unified view (as we show in this work) to understand prediction losses heuristically chosen in prior...

Qin-Wei Ma, Jing-Zhe Shi, Si-Min Fan et al. · 0 citations

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