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Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
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Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure

Tyler Sam
Yudong Chen
Chao Yu
ArXiv (abs)PDFHTML

Papers citing "Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure"

5 / 5 papers shown
Title
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
Stefan Stojanovic
Yassir Jedra
Alexandre Proutiere
71
0
0
30 Oct 2024
Matrix Low-Rank Trust Region Policy Optimization
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
87
0
0
27 May 2024
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
Stefan Stojanovic
Yassir Jedra
Alexandre Proutière
70
5
0
10 Oct 2023
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure
Xumei Xi
Chao Yu
Yudong Chen
OffRL
42
0
0
24 May 2023
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning
Sergio Rozada
Santiago Paternain
A. Marques
101
15
0
21 Jan 2022

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