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Matrix Low-Rank Approximation For Policy Gradient Methods

Matrix Low-Rank Approximation For Policy Gradient Methods

27 May 2024
Sergio Rozada
A. Marques
ArXivPDFHTML

Papers citing "Matrix Low-Rank Approximation For Policy Gradient Methods"

4 / 4 papers shown
Title
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Sergio Rozada
Santiago Paternain
J. Bazerque
Antonio G. Marques
69
0
0
17 Jan 2025
Matrix Low-Rank Trust Region Policy Optimization
Matrix Low-Rank Trust Region Policy Optimization
Sergio Rozada
Antonio G. Marques
43
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
58
13
0
21 Jan 2022
Value function approximation via low-rank models
Value function approximation via low-rank models
H. Ong
OffRL
41
20
0
31 Aug 2015
1