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20242026
most citedSpeaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision

Tongyan Wang, Zhengyuan Li, Muhan Lin +5

Text-conditioned human motion generation has made rapid progress with the emergence of large-scale motion--language datasets. However, even datasets with rich long-form description…

cs.RO2026

MAPL: Multi-Objective Preference Learning for Robot Locomotion

Xiyue Chen, Muhan Lin, Shuyang Shi +1

Reward design remains a major bottleneck in reinforcement learning for robot locomotion, where successful policies often depend on carefully tuned, task-specific reward functions.…