2 papers
cs.RO2026
Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids
Xiao Ren, Yuhui Yang, Zongbiao Weng +2
Recent reinforcement learning approaches have shown great promise in improving humanoid motion tracking performance and achieving fall recovery under disturbances. However, most ex…
cs.LG2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
Wei Shao, Yufan Kang, Ziyan Peng +4
Accuracy and timeliness are indeed often conflicting goals in prediction tasks. Premature predictions may yield a higher rate of false alarms, whereas delaying predictions to gathe…