4 citations · 4 across the 4 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.RO2026
LMGN: A Unified Policy Learning Model for Last-Mile Grasp-Navigation
Xuenmin Hu, Qingxue Qian, Wei Luo +3
Legged robots equipped with manipulators have shown significant potential in the fields of daily life and industry in complex environments. However, existing methods mainly focus o…
cs.RO2026
H^2MARL: Hierarchical Heterogeneous Multi-agent Reinforcement Learning for Humanoid Robot Control
Xuemin Hu, Kaixin Li, Qingqing Xia +4
Coordinated whole-body control of humanoid robots remains challenging due to high-dimensional coupled dynamics and substantial physical heterogeneity across joint degrees of freedo…
cs.LG2026
Efficient Anti-exploration via VQVAE and Fuzzy Clustering in Offline Reinforcement Learning
Long Chen, Yinkui Liu, Shen Li +2
Pseudo-count is an effective anti-exploration method in offline reinforcement learning (RL) by counting state-action pairs and imposing a large penalty on rare or unseen state-acti…