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Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in
  Multi-Agent RL and Inventory Control

Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control

7 October 2020
Weichao Mao
Kaipeng Zhang
Ruihao Zhu
D. Simchi-Levi
Tamer Bacsar
ArXivPDFHTML

Papers citing "Model-Free Non-Stationary RL: Near-Optimal Regret and Applications in Multi-Agent RL and Inventory Control"

7 / 7 papers shown
Title
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement
  Learning
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
Aneesh Muppidi
Zhiyu Zhang
Heng Yang
34
4
0
26 May 2024
Pausing Policy Learning in Non-stationary Reinforcement Learning
Pausing Policy Learning in Non-stationary Reinforcement Learning
Hyunin Lee
Ming Jin
Javad Lavaei
Somayeh Sojoudi
OffRL
37
2
0
25 May 2024
MNL-Bandit in non-stationary environments
MNL-Bandit in non-stationary environments
Ayoub Foussoul
Vineet Goyal
Varun Gupta
34
2
0
04 Mar 2023
Recent Advances in Reinforcement Learning in Finance
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
29
167
0
08 Dec 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
70
159
0
11 Jan 2021
Efficient Learning in Non-Stationary Linear Markov Decision Processes
Efficient Learning in Non-Stationary Linear Markov Decision Processes
Ahmed Touati
Pascal Vincent
37
29
0
24 Oct 2020
Online Algorithms for the Multi-Armed Bandit Problem with Markovian
  Rewards
Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards
Cem Tekin
M. Liu
89
81
0
14 Jul 2010
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