Author

Cheng-Yue Yu

2 papers indexed here

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Preprint Aug 2026

Design the Feedback, Not Just the Reward: Environments for Open-Ended Reinforcement Learning

Reinforcement learning has advanced large language models on tasks with reliable verifiers, where checking an outcome provides a clear basis for reward. Extending this approach to open-ended tasks requires environments that can both evaluate complex, partially successful outputs and turn these judgments into effective...

Rui Jin, Jikai Chen, Cheng-Yue Yu et al. · 1 citation

#machine learning Preprint Aug 2026

Last Step Matters: Early Uncertainty Cannot Predict Failure in Long-Horizon Agents

An underlying mechanism explaining the gap in uncertainty quantification is identified: path switching, where agents frequently abandon their current search direction in-trajectory, breaking the link between early signal and final outcome.

Zongrun Li, Cheng-Yue Yu, Lei Zang et al. · 2 citations