most citedMASQ: Multi-Agent Reinforcement Learning for Single Quadruped Robot Locomotion

1 citations · 1 across the 4 of their papers we have counts for

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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.RO2025

Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation

Jianqi Gao, Xizheng Pang, Qi Liu +1

Reinforcement learning-based mapless navigation holds significant potential. However, it faces challenges in indoor environments with local minima area. This paper introduces a saf…

cs.RO2024★ 1 cited

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…