2 papers
cs.RO2025
MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
Qi Liu, Xiaopeng Zhang, Mingshan Tan +3
This paper proposes a novel method to enhance locomotion for a single humanoid robot through cooperative-heterogeneous multi-agent deep reinforcement learning (MARL). While most ex…
cs.RO2024
MASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion
Qi Liu, Jingxiang Guo, Sixu Lin +3
This paper proposes a novel method to improve locomotion learning for a single quadruped robot using multi-agent deep reinforcement learning (MARL). Many existing methods use singl…