Author

A. Hou

2 papers indexed here

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Preprint Aug 2026

One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL

The results suggest that the diversity of the training environment, not only the policy, is critical to the generalization of multi-turn RL to real-world deployment, and releases SCOPE, an open-source framework for Population Co-Training multi-agent RL.

Simon Yu, Nicholas Tomlin, Marwa Abdulhai et al. · 2 citations

#artificial intelligence Preprint Sep 2026

Efficient Test-Time Adaptation through Human-AI Interaction

This work proposes test-time adaptation through human-agent interaction (TAHI), which integrates these signals into agent context and weights, and crystallizes each user's training and evaluation criteria via an evolving rubric module.

Zora Zhiruo Wang, Apurva Gandhi, Rulin Shao et al. · 0 citations