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

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

7 June 2022
Tyler Sam
Yudong Chen
C. Yu
    OffRL
ArXivPDFHTML

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

4 / 4 papers shown
Title
Matrix Low-Rank Trust Region Policy Optimization
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
36
0
0
27 May 2024
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
45
13
0
21 Jan 2022
Learning Good State and Action Representations via Tensor Decomposition
Learning Good State and Action Representations via Tensor Decomposition
Chengzhuo Ni
Yaqi Duan
M. Dahleh
Anru R. Zhang
Mengdi Wang
18
7
0
03 May 2021
Model-free Representation Learning and Exploration in Low-rank MDPs
Model-free Representation Learning and Exploration in Low-rank MDPs
Aditya Modi
Jinglin Chen
A. Krishnamurthy
Nan Jiang
Alekh Agarwal
OffRL
98
78
0
14 Feb 2021
1