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Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms
  for Stochastic Shortest Path

Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path

15 June 2021
Liyu Chen
Mehdi Jafarnia-Jahromi
R. Jain
Haipeng Luo
ArXivPDFHTML

Papers citing "Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path"

13 / 13 papers shown
Title
Horizon-Free Regret for Linear Markov Decision Processes
Horizon-Free Regret for Linear Markov Decision Processes
Zihan Zhang
Jason D. Lee
Yuxin Chen
Simon S. Du
33
3
0
15 Mar 2024
Settling the Sample Complexity of Online Reinforcement Learning
Settling the Sample Complexity of Online Reinforcement Learning
Zihan Zhang
Yuxin Chen
Jason D. Lee
S. Du
OffRL
98
22
0
25 Jul 2023
Layered State Discovery for Incremental Autonomous Exploration
Layered State Discovery for Incremental Autonomous Exploration
Liyu Chen
Andrea Tirinzoni
A. Lazaric
Matteo Pirotta
34
0
0
07 Feb 2023
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both
  Worlds in Stochastic and Deterministic Environments
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments
Runlong Zhou
Zihan Zhang
S. Du
44
10
0
31 Jan 2023
A Unified Algorithm for Stochastic Path Problems
A Unified Algorithm for Stochastic Path Problems
Christoph Dann
Chen-Yu Wei
Julian Zimmert
35
0
0
17 Oct 2022
Convex duality for stochastic shortest path problems in known and
  unknown environments
Convex duality for stochastic shortest path problems in known and unknown environments
Kelli Francis-Staite
26
0
0
31 Jul 2022
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of
  Stationary Policies
Horizon-Free Reinforcement Learning in Polynomial Time: the Power of Stationary Policies
Zihan Zhang
Xiangyang Ji
S. Du
30
21
0
24 Mar 2022
Policy Optimization for Stochastic Shortest Path
Policy Optimization for Stochastic Shortest Path
Liyu Chen
Haipeng Luo
Aviv A. Rosenberg
19
12
0
07 Feb 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
Learning Stochastic Shortest Path with Linear Function Approximation
Learning Stochastic Shortest Path with Linear Function Approximation
Steffen Czolbe
Jiafan He
Adrian Dalca
Quanquan Gu
39
30
0
25 Oct 2021
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with
  an Arbitrary Opponent
A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
41
5
0
08 Sep 2021
Online Learning for Unknown Partially Observable MDPs
Online Learning for Unknown Partially Observable MDPs
Mehdi Jafarnia-Jahromi
Rahul Jain
A. Nayyar
34
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
100
0
15 Oct 2019
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