most citedFrom Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training

1 citations · 1 across the 1 of their papers we have counts for

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3 papers

cs.LG2026★ 1 cited

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training

Jinwen Wang, Youfang Lin, Xiaobo Hu +4

Unsupervised pre-training on large-scale datasets has demonstrated significant potential for improving the sample efficiency and performance of Reinforcement Learning (RL). Given t…

cs.MA2025

Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution

Hao Wu, Shoucheng Song, Chang Yao +4

In multi-agent systems, explicit cognition of teammates' decision logic serves as a critical factor in facilitating coordination. Communication (i.e., ``\textit{Tell}'') can assist…

cs.MA2025

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness

Shoucheng Song, Youfang Lin, Sheng Han +4

Communication has been widely employed to enhance multi-agent collaboration. Previous research has typically assumed delay-free communication, a strong assumption that is challengi…