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Wei-Hong Luo

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#artificial intelligence Preprint Oct 2026

TrajEvolve: Trajectory Evolution for Reinforcement Learning with Hindsight Credit Assignment

The Reinforcement Learning (RL) paradigm has achieved remarkable success in enhancing the reasoning capabilities of Large Language Models (LLMs). However, when applied to long-horizon tasks, it faces severe challenges: i) Due to the high task complexity, the model struggles to sample enough successful trajectories, res...

Yi Wen, Hao Chen, Wan-Yu Wang et al. · 0 citations

#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