A Simple Reward-free Approach to Constrained Reinforcement Learning

12 July 2021

Papers citing "A Simple Reward-free Approach to Constrained Reinforcement Learning"

8 / 8 papers shown

Title
Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning Maeva Guerrier Karthik Soma Hassan Fouad Giovanni Beltrame 80 0 0 24 May 2025
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 124 3 0 24 Sep 2024
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs Dongsheng Ding Chen-Yu Wei Kai Zhang Alejandro Ribeiro 105 22 0 20 Jun 2023
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL Ruiquan Huang J. Yang Yingbin Liang OffRL 115 9 0 28 Jun 2022
Provably Efficient Model-Free Constrained RL with Linear Function Approximation A. Ghosh Xingyu Zhou Ness B. Shroff 144 28 0 23 Jun 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani Lin F. Yang Csaba Szepesvári 88 36 0 13 Jun 2022
Convergence and sample complexity of natural policy gradient primal-dual methods for constrained MDPs Dongsheng Ding Kai Zhang Jiali Duan Tamer Bacsar Mihailo R. Jovanović 73 21 0 06 Jun 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 267 257 0 20 May 2022