Achieving Zero Constraint Violation for Constrained Reinforcement
Learning via Primal-Dual Approach

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach

13 September 2021

Amrit Singh Bedi

Vaneet Aggarwal

Papers citing "Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach"

11 / 11 papers shown

Title
Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints Max Buckley Konstantinos Papathanasiou Andreas Spanopoulos 50 0 0 09 Mar 2025
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim Taehyun Cho Seung Han Hojun Chung Kyungjae Lee Songhwai Oh 34 0 0 29 May 2024
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries Swetha Ganesh Jiayu Chen Gugan Thoppe Vaneet Aggarwal FedML 61 1 0 15 Mar 2024
Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics Tianqi Zheng Pengcheng You Enrique Mallada 29 3 0 03 Dec 2022
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP Fan Chen Junyu Zhang Zaiwen Wen OffRL 31 8 0 13 Jul 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani Lin F. Yang Csaba Szepesvári 27 32 0 13 Jun 2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning Ruida Zhou Tao-Wen Liu D. Kalathil P. R. Kumar Chao Tian 27 13 0 10 Jun 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 24 21 0 03 Feb 2022
Concave Utility Reinforcement Learning with Zero-Constraint Violations Mridul Agarwal Qinbo Bai Vaneet Aggarwal 28 12 0 12 Sep 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,632 0 02 Feb 2020
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 75 308 0 22 May 2012