Sergio Rozada

According to our database, Sergio Rozada authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unrolling Dynamic Programming via Graph Filters.

Sergio Rozada, Samuel Rey, Gonzalo Mateos, Antonio G. Marques

CoRR, July, 2025

Solving Finite-Horizon MDPs via Low-Rank Tensors.

Sergio Rozada, Jose Luis Orejuela, Antonio G. Marques

CoRR, January, 2025

Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning.

Sergio Rozada, Hoi-To Wai, Antonio G. Marques

CoRR, January, 2025

Low-Rank Tensors for Multi-Dimensional Markov Models.

Madeline Navarro, Sergio Rozada, Antonio G. Marques, Santiago Segarra

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs.

Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning.

Sergio Rozada, Santiago Paternain, Antonio G. Marques

IEEE Trans. Signal Process., 2024

Tensor Low-Rank Approximation of Finite-Horizon Value Functions.

Sergio Rozada, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2024

A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning.

Sergio Rozada, Santiago Paternain, Juan Andrés Bazerque, Antonio G. Marques

Proceedings of the 58th Asilomar Conference on Signals, 2024

2023

Matrix Low-Rank Approximation for Policy Gradient Methods.

Sergio Rozada, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2023

Matrix Low-Rank Trust Region Policy Optimization.

Sergio Rozada, Antonio G. Marques

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning.

Sergio Rozada, Antonio G. Marques

CoRR, 2022

A Multi-Resolution Low-Rank Tensor Decomposition.

Sergio Rozada, Antonio G. Marques

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Low-rank State-action Value-function Approximation.

Sergio Rozada, Victor Tenorio, Antonio G. Marques

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control.

Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso

CoRR, 2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.

Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals.

Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019