Sixu Lin

Sixu Lin

First-year CS Ph.D. student working on embodied intelligence, humanoid locomotion, and robotic manipulation.

MASQ

Published in ICML 2025 NewInML Workshop, 2025

MASQ is a multi-agent reinforcement learning formulation that treats the legs of a single quadruped robot as cooperating agents.

Recommended citation: Qi Liu, Jingxiang Guo, Sixu Lin, Shuaikang Ma, Jinxuan Zhu, and Yanjie Li. MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion. ICML 2025 NewInML Workshop.
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