Sergio Rozada

Orcid: 0000-0003-1042-7502

According to our database1, Sergio Rozada authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning.
IEEE Trans. Signal Process., 2024

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs.
CoRR, 2024

Tensor Low-Rank Approximation of Finite-Horizon Value Functions.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Matrix Low-Rank Approximation for Policy Gradient Methods.
Proceedings of the IEEE International Conference on Acoustics, 2023

Matrix Low-Rank Trust Region Policy Optimization.
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.
CoRR, 2022

A Multi-Resolution Low-Rank Tensor Decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Low-rank State-action Value-function Approximation.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control.
CoRR, 2020

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019


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