1 citations · 1 across the 6 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.RO2025
Temporal Action Selection for Action Chunking
Yueyang Weng, Xiaopeng Zhang, Yongjin Mu +2
Action chunking is a widely adopted approach in Learning from Demonstration (LfD). By modeling multi-step action chunks rather than single-step actions, action chunking significant…
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…