Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2001.09377
Cited By
Constrained Upper Confidence Reinforcement Learning
26 January 2020
Liyuan Zheng
Lillian J. Ratliff
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Constrained Upper Confidence Reinforcement Learning"
18 / 18 papers shown
Title
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
72
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
Provably Efficient Exploration in Constrained Reinforcement Learning:Posterior Sampling Is All You Need
Danil Provodin
Pratik Gajane
Mykola Pechenizkiy
M. Kaptein
33
0
0
27 Sep 2023
Semi-Infinitely Constrained Markov Decision Processes and Efficient Reinforcement Learning
Liangyu Zhang
Yang Peng
Wenhao Yang
Zhihua Zhang
18
1
0
29 Apr 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen
Ching-An Cheng
OffRL
18
2
0
06 Jan 2023
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani
Lin F. Yang
Csaba Szepesvári
32
32
0
13 Jun 2022
Safe Reinforcement Learning for Legged Locomotion
Tsung-Yen Yang
Tingnan Zhang
Linda Luu
Sehoon Ha
Jie Tan
Wenhao Yu
21
40
0
05 Mar 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Liyu Chen
R. Jain
Haipeng Luo
54
25
0
31 Jan 2022
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning
Tong Mu
Georgios Theocharous
David Arbour
Emma Brunskill
17
6
0
30 Dec 2021
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
27
166
0
08 Dec 2021
Concave Utility Reinforcement Learning with Zero-Constraint Violations
Mridul Agarwal
Qinbo Bai
Vaneet Aggarwal
33
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
29
78
0
04 Jun 2021
Online Selection of Diverse Committees
Virginie Do
Jamal Atif
J. Lang
Nicolas Usunier
21
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
23
39
0
01 Aug 2020
Exploration-Exploitation in Constrained MDPs
Yonathan Efroni
Shie Mannor
Matteo Pirotta
33
169
0
04 Mar 2020
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
Dongsheng Ding
Xiaohan Wei
Zhuoran Yang
Zhaoran Wang
M. Jovanović
12
159
0
01 Mar 2020
Safe Exploration in Markov Decision Processes
T. Moldovan
Pieter Abbeel
78
308
0
22 May 2012
1