End-to-End Learning Framework for Solving Non-Markovian Optimal Control
机构 * Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089, USA(美国南加州大学明希斯电气与计算机工程系) ; Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI 48109, USA(美国密歇根大学航空航天工程系) ; Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA(美国普渡大学埃尔莫家庭电气与计算机工程学院)
Journal ref International Conference on Machine Learning (ICML) 2025