A Simple Reward-free Approach to Constrained Reinforcement Learning

12 July 2021

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

24 / 24 papers shown

Title
Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning Maeva Guerrier Karthik Soma Hassan Fouad Giovanni Beltrame 56 0 0 24 May 2025
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning Bo Yue Jian Li Guiliang Liu 101 3 0 24 Sep 2024
Provably Efficient Algorithms for Multi-Objective Competitive RL Tiancheng Yu Yi Tian J.N. Zhang S. Sra 69 20 0 05 Feb 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 256 168 0 06 Jan 2021
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning Jingfeng Wu Vladimir Braverman Lin F. Yang 58 10 0 25 Nov 2020
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play Qinghua Liu Tiancheng Yu Yu Bai Chi Jin 91 122 0 04 Oct 2020
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration Andrea Zanette A. Lazaric Mykel J. Kochenderfer Emma Brunskill 75 64 0 18 Aug 2020
On Reward-Free Reinforcement Learning with Linear Function Approximation Ruosong Wang S. Du Lin F. Yang Ruslan Salakhutdinov OffRL 73 107 0 19 Jun 2020
Task-agnostic Exploration in Reinforcement Learning Xuezhou Zhang Yuzhe Ma Adish Singla OffRL 78 49 0 16 Jun 2020
Constrained episodic reinforcement learning in concave-convex and knapsack settings Kianté Brantley Miroslav Dudík Thodoris Lykouris Sobhan Miryoosefi Max Simchowitz Aleksandrs Slivkins Wen Sun OffRL 78 52 0 09 Jun 2020
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension Ruosong Wang Ruslan Salakhutdinov Lin F. Yang 65 55 0 21 May 2020
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 120 181 0 04 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 87 165 0 01 Mar 2020
Learning in Markov Decision Processes under Constraints Rahul Singh Abhishek Gupta Ness B. Shroff 76 28 0 27 Feb 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 172 197 0 07 Feb 2020
Reinforcement Learning with Convex Constraints Sobhan Miryoosefi Kianté Brantley Hal Daumé Miroslav Dudík Robert Schapire 51 92 0 21 Jun 2019
Provably Efficient Imitation Learning from Observation Alone Wen Sun Anirudh Vemula Byron Boots J. Andrew Bagnell 163 107 0 27 May 2019
Batch Policy Learning under Constraints Hoang Minh Le Cameron Voloshin Yisong Yue OffRL 60 335 0 20 Mar 2019
A Short Note on Concentration Inequalities for Random Vectors with SubGaussian Norm Chi Jin Praneeth Netrapalli Rong Ge Sham Kakade Michael I. Jordan 107 150 0 11 Feb 2019
Reward Constrained Policy Optimization Chen Tessler D. Mankowitz Shie Mannor 86 544 0 28 May 2018
Minimax Regret Bounds for Reinforcement Learning M. G. Azar Ian Osband Rémi Munos 95 778 0 16 Mar 2017
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 77 203 0 09 Nov 2016
Dynamic Pricing with Limited Supply Moshe Babaioff S. Dughmi Robert D. Kleinberg Aleksandrs Slivkins 119 164 0 20 Aug 2011
Blackwell Approachability and Low-Regret Learning are Equivalent Jacob D. Abernethy Peter L. Bartlett Elad Hazan 139 121 0 08 Nov 2010