Convergence and sample complexity of natural policy gradient primal-dual
methods for constrained MDPs

Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs

6 June 2022

Mihailo R. Jovanović

Papers citing "Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs"

9 / 9 papers shown

Title
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning Andreas Schlaginhaufen Maryam Kamgarpour 21 10 0 01 Jun 2023
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 72 47 0 16 May 2023
Constrained Update Projection Approach to Safe Policy Optimization Long Yang Jiaming Ji Juntao Dai Linrui Zhang Binbin Zhou Pengfei Li Yaodong Yang Gang Pan 38 43 0 15 Sep 2022
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes Sihan Zeng Thinh T. Doan Justin Romberg 102 17 0 21 Oct 2021
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach Qinbo Bai Amrit Singh Bedi Mridul Agarwal Alec Koppel Vaneet Aggarwal 107 56 0 13 Sep 2021
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 59 59 0 21 Jul 2020
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark W. Schmidt Francis R. Bach 126 259 0 10 Dec 2012
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 101 571 0 08 Dec 2012