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Hao-Yue Zhang

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#artificial intelligence Preprint Oct 2026

Hindsight-Privileged RLVR: Single-Rollout Token Credit Without Group Sampling

Reinforcement learning with verifiable rewards (RLVR) trains language models from checked task outcomes, but assigning a terminal reward to individual reasoning tokens or actions remains difficult. Group-relative methods such as Group Relative Policy Optimization (GRPO) sample several attempts per prompt, but lose thei...

Wei Chen, Yu-Bing Wu, Zhou-Shi Xu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Beyond Prediction: Steering VLM Agents with Retrospective World Modeling

Retrospective World Modeling is introduced, a new agent learning paradigm that enables agents to reason backward by estimating the retrospective attribution distribution for the action that most likely caused a given transition, and an intrinsic signal that measures the probabilistic consistency between the policy acti...

Yong-Jiang Liu, Jiewei Zhang, Hao-Yue Zhang et al. · 0 citations

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