3 papers
cs.RO2026
Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation
Zeyi Liu, Guangyao Liu, Yinuo Qu +6
Human-in-the-loop reinforcement learning (HIL-RL) improves sample efficiency in real-robot manipulation through online human intervention. However, successful trajectories may incl…
math.OC2026
Efficient state transition algorithm with guaranteed optimality
Xiaojun Zhou, Chunhua Yang, Weihua Gui +1
The state transition algorithm (STA), as an intelligent optimization method grounded in constructivist learning, has been demonstrated to be highly effective in solving complex opt…
math.OC2025
Scheduling problems of aircraft on a same runway and dual runways
Peng Lin, Haopeng Yang, Gui Gui +2
In this paper, the scheduling problems of landing and takeoff aircraft on a same runway and on dual runways are addressed. In contrast to the approaches based on mixed-integer opti…