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Yoonchang Sung

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ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

ROTATE is introduced, a regret-driven, open-ended training algorithm that alternates between improving the AHT agent and generating teammates that probe its collaboration deficiencies, establishing a new standard for robust, generalizable teamwork.

Caroline Wang, Arrasy Rahman, Jia-Xun Cui et al. · 8 citations · ⚡1
Jul 2026

LEACL: LLM-Enhanced Automatic Curriculum Learning for Reinforcement Learning in Long-Horizon Manipulation Tasks

LLM-enhanced automatic curriculum learning (LEACL), a framework that integrates LLMs and ACL to address limitations of ACL, is proposed, which achieves better asymptotic performance in terms of the success rates compared to human-designed dense rewards.

Faraz Heravi, James Ouyang, Zi-Fan Xu et al. · 0 citations

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