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Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics

Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics

Asilomar Conference on Signals, Systems and Computers (ACSSC), 2022
3 December 2022
Tianqi Zheng
Pengcheng You
Enrique Mallada
ArXiv (abs)PDFHTML

Papers citing "Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics"

3 / 3 papers shown
Title
Last-Iterate Global Convergence of Policy Gradients for Constrained
  Reinforcement Learning
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning
Alessandro Montenegro
Marco Mussi
Matteo Papini
Alberto Maria Metelli
BDL
157
2
0
15 Jul 2024
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired
  Algorithm for Min-max Optimization
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max OptimizationIEEE Control Systems Letters (L-CSS), 2024
Tianqi Zheng
Nicolas Loizou
Pengcheng You
Enrique Mallada
249
4
0
14 Mar 2024
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for
  Constrained MDPs
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPsNeural Information Processing Systems (NeurIPS), 2023
Dongsheng Ding
Chen-Yu Wei
Jianchao Tan
Alejandro Ribeiro
302
28
0
20 Jun 2023
1