ResearchTrend.AI
Tensor Low-rank Approximation of Finite-horizon Value Functions

Tensor Low-rank Approximation of Finite-horizon Value Functions

Sergio Rozada
Antonio G. Marques
ArXiv (abs)PDFHTML

Papers citing "Tensor Low-rank Approximation of Finite-horizon Value Functions"

5 / 5 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
85
0
0
17 Jan 2025
Finite Horizon Q-learning: Stability, Convergence, Simulations and an application on Smart Grids
Finite Horizon Q-learning: Stability, Convergence, Simulations and an application on Smart Grids
V. Vivek
Dr.Shalabh Bhatnagar
39
6
0
27 Oct 2021
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
157
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
83
33
0
26 Sep 2019
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning
Kristopher De Asis
Alan Chan
Silviu Pitis
R. Sutton
D. Graves
55
32
0
09 Sep 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.