Constrained Upper Confidence Reinforcement Learning

26 January 2020

Papers citing "Constrained Upper Confidence Reinforcement Learning"

21 / 21 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
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 0 0 29 Aug 2024
Constrained Reinforcement Learning Under Model Mismatch Zhongchang Sun Sihong He Fei Miao Shaofeng Zou 46 4 0 02 May 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 42 2 0 31 Jan 2024
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 44 3 0 01 Dec 2023
Provably Efficient Exploration in Constrained Reinforcement Learning:Posterior Sampling Is All You Need Danil Provodin Pratik Gajane Mykola Pechenizkiy M. Kaptein 39 0 0 27 Sep 2023
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning Liangyu Zhang Yang Peng Wenhao Yang Zhihua Zhang 21 1 0 29 Apr 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction Hoai-An Nguyen Ching-An Cheng OffRL 31 2 0 06 Jan 2023
Provably Efficient Model-Free Constrained RL with Linear Function Approximation A. Ghosh Xingyu Zhou Ness B. Shroff 75 23 0 23 Jun 2022
Near-Optimal Sample Complexity Bounds for Constrained MDPs Sharan Vaswani Lin F. Yang Csaba Szepesvári 35 32 0 13 Jun 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 29 40 0 05 Mar 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints Liyu Chen R. Jain Haipeng Luo 57 25 0 31 Jan 2022
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning Tong Mu Georgios Theocharous David Arbour Emma Brunskill 33 6 0 30 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 29 167 0 08 Dec 2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations Mridul Agarwal Qinbo Bai Vaneet Aggarwal 36 12 0 12 Sep 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 37 78 0 04 Jun 2021
Online Selection of Diverse Committees Virginie Do Jamal Atif J. Lang Nicolas Usunier 35 8 0 19 May 2021
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs Aria HasanzadeZonuzy Archana Bura D. Kalathil S. Shakkottai 32 38 0 01 Aug 2020
Exploration-Exploitation in Constrained MDPs Yonathan Efroni Shie Mannor Matteo Pirotta 33 171 0 04 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization Dongsheng Ding Xiaohan Wei Zhuoran Yang Zhaoran Wang M. Jovanović 20 159 0 01 Mar 2020
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012