Author

Xing Tang

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#machine learning Preprint Oct 2026

Grounded Credit Assignment in Reinforcement Learning for Multi-Turn Search Agents

Outcome-reward reinforcement learning such as GRPO gives every token of a search-agent rollout the same advantage, although the rollout exercises two capabilities: finding evidence and using it. We show that accuracy improves without grounding: Search-R1 raises accuracy on all seven QA benchmarks, yet on Bamboogle the...

Qi-Rui Liu, Hao Chen, Yi Wen et al. · 1 citation

Preprint Aug 2026

When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems

CoVeMem (Collaborative Vector Memory) is proposed, which vectorizes the collaborative core of the agent's memory and takes gradients: the full interaction history, out of reach for text, becomes available as training data for what the agent remembers and for how it reads what it remembers.

Hanting Chen, Xing Tang, Ling-Jie Li et al. · 0 citations