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Zhengyong Gao

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#machine learning Preprint Sep 2026

EmbodiedMind: Adaptive Data Curation and Prefix-Tree Reinforcement Learning for Efficient Embodied Intelligence

Training embodied foundation models typically requires massive-scale datasets and extensive computational resources, yet often suffers from three critical limitations: (1) inefficient sample utilization due to low-informative samples; (2) imbalanced gradient contributions across heterogeneous tasks; and (3) severe cred...

Fei-Fan Wang, Zong-Bing Zhang, Yu Zhang et al. · 0 citations
Preprint Aug 2026

SelectLight: Learning to Select Signal Plans Generated by Distributed Model Predictive Control for Urban Traffic Networks

SelectLight is proposed, which implements post-optimization selection by allowing a multi-agent reinforcement learning (MARL) policy to choose directly from plans generated online by DMPC, and achieves the best delay-related performance and that its advantage widens with demand.

Lyuzhou Luo, Chaopeng Tan, Zhengyong Gao et al. · 0 citations

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