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20242026
most citedCurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills using Large Language Models

1 citations · 1 across the 7 of their papers we have counts for

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cs.AI2026

PopGen: Generating Semantically Diverse Populations for Zero-Shot Coordination

Paul Teiletche, Kanghyun Ryu, Kyungjoon Park +3

In multi-agent reinforcement learning, exposing a cooperator to partners with diverse strategies during training is key to better collaboration at test time. However, existing meth…

cs.RO2026

HuGo: LLMs as Whole-Body Policy Code Designers for Humanoid Loco-Manipulation

Seoyeon Choi, Shizhao Ye, Nicholas Bui +5

For humanoids to be useful in everyday environments, they must perform a wide range of tasks that couple locomotion and manipulation. Existing approaches commonly acquire a loco-ma…