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Sergio Rozada
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Journal Articles
- 2024
- [j1]Sergio Rozada, Santiago Paternain, Antonio G. Marques:
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. IEEE Trans. Signal Process. 72: 1634-1649 (2024)
Conference and Workshop Papers
- 2024
- [c7]Sergio Rozada, Antonio G. Marques:
Tensor Low-Rank Approximation of Finite-Horizon Value Functions. ICASSP 2024: 5975-5979 - 2023
- [c6]Sergio Rozada, Antonio G. Marques:
Matrix Low-Rank Trust Region Policy Optimization. CAMSAP 2023: 406-410 - [c5]Sergio Rozada, Antonio G. Marques:
Matrix Low-Rank Approximation for Policy Gradient Methods. ICASSP 2023: 1-5 - 2022
- [c4]Sergio Rozada, Antonio G. Marques:
A Multi-Resolution Low-Rank Tensor Decomposition. ICASSP 2022: 3653-3657 - 2021
- [c3]Sergio Rozada, Victor Tenorio, Antonio G. Marques:
Low-rank State-action Value-function Approximation. EUSIPCO 2021: 1471-1475 - 2020
- [c2]Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques:
Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs. EUSIPCO 2020: 855-859 - 2019
- [c1]Samuel Rey, Victor Tenorio, Sergio Rozada, Luca Martino, Antonio G. Marques:
Deep Encoder-Decoder Neural Network Architectures for Graph Output Signals. ACSSC 2019: 225-229
Informal and Other Publications
- 2024
- [i8]Sergio Rozada, Antonio G. Marques:
Matrix Low-Rank Trust Region Policy Optimization. CoRR abs/2405.17625 (2024) - [i7]Sergio Rozada, Antonio G. Marques:
Matrix Low-Rank Approximation For Policy Gradient Methods. CoRR abs/2405.17626 (2024) - [i6]Sergio Rozada, Antonio G. Marques:
Tensor Low-rank Approximation of Finite-horizon Value Functions. CoRR abs/2405.17628 (2024) - [i5]Sergio Rozada, Antonio G. Marques:
A Multi-resolution Low-rank Tensor Decomposition. CoRR abs/2406.18560 (2024) - [i4]Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro:
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs. CoRR abs/2408.10015 (2024) - 2022
- [i3]Sergio Rozada, Antonio G. Marques:
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning. CoRR abs/2201.09736 (2022) - 2021
- [i2]Sergio Rozada, Victor Tenorio, Antonio G. Marques:
Low-rank State-action Value-function Approximation. CoRR abs/2104.08805 (2021) - 2020
- [i1]Sergio Rozada, Dimitra Apostolopoulou, Eduardo Alonso:
Deep Multi-Agent Reinforcement Learning for Cost Efficient Distributed Load Frequency Control. CoRR abs/2010.06293 (2020)
Coauthor Index
aka: Antonio G. Marques
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