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Last-Iterate Global Convergence of Policy Gradients for Constrained
  Reinforcement Learning

Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning

15 July 2024
Alessandro Montenegro
Marco Mussi
Matteo Papini
Alberto Maria Metelli
    BDL
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Papers citing "Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning"

2 / 2 papers shown
Title
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of
  SGD for Gradient-Dominated Function
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function
Saeed Masiha
Saber Salehkaleybar
Niao He
Negar Kiyavash
Patrick Thiran
79
19
0
25 May 2022
Achieving Zero Constraint Violation for Constrained Reinforcement
  Learning via Primal-Dual Approach
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach
Qinbo Bai
Amrit Singh Bedi
Mridul Agarwal
Alec Koppel
Vaneet Aggarwal
99
56
0
13 Sep 2021
1