Author

Jian Ding

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Jul 2026

Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning

Large Vision-Language Models (VLMs) now act as agents in interactive environments, where success requires coherent reasoning and decision-making across turns. Although end-to-end training in agentic environments can improve such multi-turn decision-making abilities, current methods mainly rely on either token-wise opti...

Wenxuan Zhang, Yu-Hui Wang, Donggang Jia et al. · arXiv.org · 0 citations

Preprint Sep 2026

ContextFlow: In-Context Flow Matching for Robot Manipulation

Although highly effective in vision and language domains, applying in-context learning to robotics remains challenging. Existing autoregressive in-context imitation methods discretize continuous actions and exacerbate the accumulation of early prediction errors through next-token prediction, limiting their generalizati...

Jian Ding, Xian-Jie Dai, Roei Herzig et al. · 0 citations