Reinforcement Learning with Convex Constraints

21 June 2019

Papers citing "Reinforcement Learning with Convex Constraints"

23 / 23 papers shown

Title
Constrained Online Decision-Making: A Unified Framework Haichen Hu David Simchi-Levi Navid Azizan 39 0 0 11 May 2025
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form Toshinori Kitamura Tadashi Kozuno Wataru Kumagai Kenta Hoshino Y. Hosoe Kazumi Kasaura Masashi Hamaya Paavo Parmas Yutaka Matsuo 74 1 0 29 Aug 2024
Non-maximizing policies that fulfill multi-criterion aspirations in expectation Simon Dima Simon Fischer J. Heitzig Joss Oliver 28 1 0 08 Aug 2024
Rate-Preserving Reductions for Blackwell Approachability Christoph Dann Yishay Mansour M. Mohri Jon Schneider Balasubramanian Sivan 50 2 0 10 Jun 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 43 0 0 25 Apr 2024
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with Uniform PAC Guarantees Toshinori Kitamura Tadashi Kozuno Masahiro Kato Yuki Ichihara Soichiro Nishimori Akiyoshi Sannai Sho Sonoda Wataru Kumagai Yutaka Matsuo 49 2 0 31 Jan 2024
Pseudonorm Approachability and Applications to Regret Minimization Christoph Dann Yishay Mansour M. Mohri Jon Schneider Balasubramanian Sivan 39 5 0 03 Feb 2023
Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning Ajay Vishwanath E. Bøhn Ole-Christoffer Granmo Charl Maree C. Omlin AI4CE 35 5 0 30 Aug 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 117 241 0 20 May 2022
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management Charl Maree C. Omlin 40 1 0 20 Apr 2022
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili Changliu Liu 24 1 0 23 Mar 2022
Challenging Common Assumptions in Convex Reinforcement Learning Mirco Mutti Ric De Santi Piersilvio De Bartolomeis Marcello Restelli OffRL 37 21 0 03 Feb 2022
Reinforcement Learning Your Way: Agent Characterization through Policy Regularization Charl Maree C. Omlin 27 8 0 21 Jan 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations Angeliki Kamoutsi G. Banjac John Lygeros OffRL 31 7 0 28 Dec 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 27 3 0 10 Aug 2021
Constraints Penalized Q-learning for Safe Offline Reinforcement Learning Haoran Xu Xianyuan Zhan Xiangyu Zhu OffRL 16 86 0 19 Jul 2021
A Simple Reward-free Approach to Constrained Reinforcement Learning Sobhan Miryoosefi Chi Jin 16 29 0 12 Jul 2021
Preference learning along multiple criteria: A game-theoretic perspective Kush S. Bhatia A. Pananjady Peter L. Bartlett Anca Dragan Martin J. Wainwright 40 13 0 05 May 2021
Interactive Learning from Activity Description Khanh Nguyen Dipendra Kumar Misra Robert Schapire Miroslav Dudík Patrick Shafto 52 34 0 13 Feb 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL Tiancheng Yu Yi Tian J.N. Zhang S. Sra 26 20 0 05 Feb 2021
Inverse Constrained Reinforcement Learning Usman Anwar Shehryar Malik Alireza Aghasi Ali Ahmed 18 58 0 19 Nov 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020
Blackwell Approachability and Low-Regret Learning are Equivalent Jacob D. Abernethy Peter L. Bartlett Elad Hazan 86 117 0 08 Nov 2010