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Antonio G. Marqués — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Antonio G. Marqués
14
papers ·
4
citations ·
30
h-index
Universidad Rey Juan Carlos
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Tensor Low-rank Approximation of Finite-horizon Value Functions
2024 · 3 citations
Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning
2025
A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
2025
Addressing Finite-Horizon MDPs via Low-Rank Tensor Value Approximation
2025
Matrix Low-Rank Trust Region Policy Optimization
2024
Matrix Low-Rank Approximation For Policy Gradient Methods
2024
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
2024
Top co-authors
Sergio Rozada
· 7
Alejandro Ribeiro
· 1
Dongsheng Ding
· 1
Hoi-To Wai
· 1
Jose Luis Orejuela
· 1
Juan Andres Bazerque
· 1
Santiago Paternain
· 1
Topics
Model-Based RL
Policy Gradient
Value-Based
Multi-Agent
Safe RL