Author

Zi-Fan Xu

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#artificial intelligence Preprint Sep 2026

Uncertainty-Aware Selection of Online Algorithms with Simulator Ensembles

The performance of online reinforcement learning depends critically on design choices, especially those that affect exploration. These choices are often selected by fitting a simulator to offline data, evaluating candidate algorithms in that simulator, and deploying the best-performing one. The simplest Plug-In selecti...

Yong-Yi Guo, Zi-Fan Xu, Zi-Ping Xu et al. · 0 citations

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. · arXiv.org · 0 citations