1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Modeling Output-Level Task Relatedness in Multi-Task Learning with Feedback Mechanism
Xiangming Xi, Feng Gao, Jun Xu +2
Multi-task learning (MTL) is a paradigm that simultaneously learns multiple tasks by sharing information at different levels, enhancing the performance of each individual task. Whi…
cs.RO2024
Multi-Objective Trajectory Planning with Dual-Encoder
Beibei Zhang, Tian Xiang, Chentao Mao +6
Time-jerk optimal trajectory planning is crucial in advancing robotic arms' performance in dynamic tasks. Traditional methods rely on solving complex nonlinear programming problems…