1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2026
HuMam: Humanoid Motion Control via End-to-End Deep Reinforcement Learning with Mamba
Yinuo Wang, Yuanyang Qi, Jinzhao Zhou +2
End-to-end reinforcement learning (RL) for humanoid locomotion is appealing for its compact perception-action mapping, yet practical policies often suffer from training instability…
cs.RO2026★ 1 cited
Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion Control
Xiaowen Tao, Yinuo Wang, Jinzhao Zhou
End-to-end reinforcement learning (RL) for motion control trains policies directly from sensor inputs to motor commands, enabling unified controllers for different robots and tasks…