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Citation Details

Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics

Award ID(s):: 1752362 1934979 2136324

PAR ID:: 10434600

Author(s) / Creator(s):: Zheng, Tianqi; You, Pengcheng; Mallada, Enrique

Date Published:: 2022-10-31

Journal Name:: 56th Asilomar Conference on Signals, Systems, and Computers

Page Range / eLocation ID:: 1362 to 1366

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript
Conference Paper:
https://doi.org/10.1109/IEEECONF56349.2022.10052060