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Learning Infinite-horizon Average-reward MDPs with Linear Function
  Approximation

Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation

23 July 2020
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Rahul Jain
ArXivPDFHTML

Papers citing "Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation"

14 / 14 papers shown
Title
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon
  Average Reward Markov Decision Processes
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
Qinbo Bai
Washim Uddin Mondal
Vaneet Aggarwal
34
9
0
05 Sep 2023
Efficient Planning in Combinatorial Action Spaces with Applications to
  Cooperative Multi-Agent Reinforcement Learning
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Volodymyr Tkachuk
Seyed Alireza Bakhtiari
Johannes Kirschner
Matej Jusup
Ilija Bogunovic
Csaba Szepesvári
26
4
0
08 Feb 2023
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints
Akhil Agnihotri
R. Jain
Haipeng Luo
21
2
0
02 Feb 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear
  Function Approximation
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
Uri Sherman
Tomer Koren
Yishay Mansour
32
12
0
30 Jan 2023
Refined Regret for Adversarial MDPs with Linear Function Approximation
Refined Regret for Adversarial MDPs with Linear Function Approximation
Yan Dai
Haipeng Luo
Chen-Yu Wei
Julian Zimmert
31
12
0
30 Jan 2023
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Provable Reset-free Reinforcement Learning by No-Regret Reduction
Hoai-An Nguyen
Ching-An Cheng
OffRL
23
2
0
06 Jan 2023
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual
  Optimization
Efficient Global Planning in Large MDPs via Stochastic Primal-Dual Optimization
Gergely Neu
Nneka Okolo
32
6
0
21 Oct 2022
Learning Infinite-Horizon Average-Reward Markov Decision Processes with
  Constraints
Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints
Liyu Chen
R. Jain
Haipeng Luo
57
25
0
31 Jan 2022
Understanding Domain Randomization for Sim-to-real Transfer
Understanding Domain Randomization for Sim-to-real Transfer
Xiaoyu Chen
Jiachen Hu
Chi Jin
Lihong Li
Liwei Wang
24
112
0
07 Oct 2021
Efficient Local Planning with Linear Function Approximation
Efficient Local Planning with Linear Function Approximation
Dong Yin
Botao Hao
Yasin Abbasi-Yadkori
N. Lazić
Csaba Szepesvári
32
19
0
12 Aug 2021
Average-Reward Reinforcement Learning with Trust Region Methods
Average-Reward Reinforcement Learning with Trust Region Methods
Xiaoteng Ma
Xiao-Jing Tang
Li Xia
Jun Yang
Qianchuan Zhao
21
16
0
07 Jun 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly
  Realizable MDPs with Limited Revisiting
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li
Yuxin Chen
Yuejie Chi
Yuantao Gu
Yuting Wei
OffRL
26
28
0
17 May 2021
Online Learning for Unknown Partially Observable MDPs
Online Learning for Unknown Partially Observable MDPs
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
28
20
0
25 Feb 2021
Model-free Reinforcement Learning in Infinite-horizon Average-reward
  Markov Decision Processes
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
Chen-Yu Wei
Mehdi Jafarnia-Jahromi
Haipeng Luo
Hiteshi Sharma
R. Jain
107
99
0
15 Oct 2019
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