ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.10351
  4. Cited By
Faster Algorithm and Sharper Analysis for Constrained Markov Decision
  Process

Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process

20 October 2021
Tianjiao Li
Ziwei Guan
Shaofeng Zou
Tengyu Xu
Yingbin Liang
Guanghui Lan
ArXivPDFHTML

Papers citing "Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process"

6 / 6 papers shown
Title
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
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
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun
Sihong He
Fei Miao
Shaofeng Zou
40
4
0
02 May 2024
A Policy Gradient Primal-Dual Algorithm for Constrained MDPs with
  Uniform PAC Guarantees
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
37
2
0
31 Jan 2024
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective
  Reinforcement Learning
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
Ruida Zhou
Tao-Wen Liu
D. Kalathil
P. R. Kumar
Chao Tian
24
13
0
10 Jun 2022
Algorithm for Constrained Markov Decision Process with Linear
  Convergence
Algorithm for Constrained Markov Decision Process with Linear Convergence
E. Gladin
Maksim Lavrik-Karmazin
K. Zainullina
Varvara Rudenko
Alexander V. Gasnikov
Martin Takáč
30
6
0
03 Jun 2022
Policy Mirror Descent for Reinforcement Learning: Linear Convergence,
  New Sampling Complexity, and Generalized Problem Classes
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes
Guanghui Lan
89
136
0
30 Jan 2021
1