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Low-rank State-action Value-function Approximation

Low-rank State-action Value-function Approximation

18 April 2021
Sergio Rozada
Victor M. Tenorio
A. Marques
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Low-rank State-action Value-function Approximation"

8 / 8 papers shown
Title
Solving Finite-Horizon MDPs via Low-Rank Tensors
Solving Finite-Horizon MDPs via Low-Rank Tensors
Sergio Rozada
Jose Luis Orejuela
Antonio G. Marques
75
0
0
17 Jan 2025
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
Devavrat Shah
Dogyoon Song
Zhi Xu
Yuzhe Yang
152
31
0
11 Jun 2020
Harnessing Structures for Value-Based Planning and Reinforcement
  Learning
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Yuzhe Yang
Guo Zhang
Zhi Xu
Dina Katabi
OffRL
71
33
0
26 Sep 2019
Factorized Q-Learning for Large-Scale Multi-Agent Systems
Factorized Q-Learning for Large-Scale Multi-Agent Systems
M. Zhou
Yong Chen
Ying Wen
Yaodong Yang
Yufeng Su
Weinan Zhang
Dell Zhang
Jun Wang
AI4CE
65
68
0
11 Sep 2018
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRLODL
223
5,087
0
05 Jun 2016
Value function approximation via low-rank models
Value function approximation via low-rank models
H. Ong
OffRL
94
20
0
31 Aug 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
129
12,269
0
19 Dec 2013
In-network Sparsity-regularized Rank Minimization: Algorithms and
  Applications
In-network Sparsity-regularized Rank Minimization: Algorithms and Applications
Morteza Mardani
Gonzalo Mateos
G. Giannakis
79
76
0
07 Mar 2012
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