Juan Andrés Bazerque

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Markov Decision Process

Policy Gradient

Reproducing Kernel

Reinforcement Learning

Top Venues

IEEE Trans. Autom. Control.

Publications

Rodrigo Porteiro, Fernando Paganini, Juan Andrés Bazerque
Combined learning and optimal power flow for storage dispatch in grids with renewables. ISGT (2024)
Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada
Learning safety critics via a non-contractive binary bellman operator. CoRR (2024)
Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque
Multi-agent assignment via state augmented reinforcement learning. L4DC (2024)
Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque
Multi-agent assignment via state augmented reinforcement learning. CoRR (2024)
Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada
Learning Safety Critics via a Non-Contractive Binary Bellman Operator. ACSSC (2023)
Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque
A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand. CoRR (2023)
Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada
Learning to Act Safely With Limited Exposure and Almost Sure Certainty. IEEE Trans. Autom. Control. 68 (5) (2023)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP (2023)
Agustin Castellano, Hancheng Min, Enrique Mallada, Juan Andrés Bazerque
Reinforcement Learning with Almost Sure Constraints. L4DC (2022)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR (2022)
Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro
Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes. IEEE Trans. Autom. Control. 67 (9) (2022)
Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada
Learning to be safe, in finite time. ACC (2021)
Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada
Model-free safe policy learning via hard action barrier functions. CISS (2021)
Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada
Learning to Act Safely with Limited Exposure and Almost Sure Certainty. CoRR (2021)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Supervised Learning via Cross-learning. EUSIPCO (2021)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning. IEEE Trans. Signal Process. 69 (2021)
Agustin Castellano, Hancheng Min, Juan Andrés Bazerque, Enrique Mallada
Reinforcement Learning with Almost Sure Constraints. CoRR (2021)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. IEEE Trans. Autom. Control. 66 (8) (2021)
Agustin Castellano, Camila Martínez, Pablo Monzón, Juan Andrés Bazerque, Andrés Ferragut, Fernando Paganini
Quadratic approximate dynamic programming for scheduling water resources: a case study. CoRR (2020)
Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada
Learning to be safe, in finite time. CoRR (2020)
Agustin Castellano, Juan Andrés Bazerque, Enrique Mallada
Assured RL: Reinforcement Learning with Almost Sure Constraints. CoRR (2020)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR (2020)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Multi-task Supervised Learning via Cross-learning. CoRR (2020)
Santiago Paternain, Juan Andrés Bazerque, Alejandro Ribeiro
Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes. CoRR (2020)
Agustin Castellano, Juan Andrés Bazerque
Learning the operation of energy storage systems from real trajectories of demand and renewables. ISGT (2020)
Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro
Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC (2019)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces. CDC (2019)
Sergio Nesmachnow, Santiago Iturriaga, Jonathan Muraña, Sebastian Montes de Oca, Gonzalo Belcredi, Pablo Monzón, Pablo Belzarena, Juan Andrés Bazerque
Demand Response and Ancillary Services for Supercomputing and Datacenters. ISUM (2019)
Juan Andrés Bazerque
Stochastic Optimization of Power Systems with Risk Constraints And Sparsely Distributed Storage. ICASSP (2018)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces. CoRR (2018)
Santiago Paternain, Juan Andrés Bazerque, Austin Small, Alejandro Ribeiro
Learning Policies for Markov Decision Processes in Continuous Spaces. CDC (2018)
Juan Andrés Bazerque, Pablo Monzón
Control of networked systems in the graph-frequency domain. ACSSC (2017)
Xiaodong Cai, Juan Andrés Bazerque, Georgios B. Giannakis
Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations. PLoS Comput. Biol. 9 (5) (2013)
Juan Andrés Bazerque, Georgios B. Giannakis
Nonparametric Basis Pursuit via Sparse Kernel-based Learning CoRR (2013)
Juan Andrés Bazerque, Brian Baingana, Georgios B. Giannakis
Identifiability of sparse structural equation models for directed and cyclic networks. GlobalSIP (2013)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Inference of Poisson count processes using low-rank tensor data. ICASSP (2013)
Juan Andrés Bazerque, Georgios B. Giannakis
Nonparametric Basis Pursuit via Sparse Kernel-Based Learning: A Unifying View with Advances in Blind Methods. IEEE Signal Process. Mag. 30 (4) (2013)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Rank regularization and Bayesian inference for tensor completion and extrapolation CoRR (2013)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Rank Regularization and Bayesian Inference for Tensor Completion and Extrapolation. IEEE Trans. Signal Process. 61 (22) (2013)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Nonparametric low-rank tensor imputation. SSP (2012)
Emiliano Dall'Anese, Juan Andrés Bazerque, Georgios B. Giannakis
Group sparse Lasso for cognitive network sensing robust to model uncertainties and outliers. Phys. Commun. 5 (2) (2012)
Xiaodong Cai, Juan Andrés Bazerque, Georgios B. Giannakis
Gene network inference via sparse structural equation modeling with genetic perturbations. GENSiPS (2011)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Basis pursuit for spectrum cartography. ICASSP (2011)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Group-Lasso on Splines for Spectrum Cartography. IEEE Trans. Signal Process. 59 (10) (2011)
Juan Andrés Bazerque, Gonzalo Mateos, Georgios B. Giannakis
Distributed Lasso for in-network linear regression. ICASSP (2010)
Daniele Angelosante, Juan Andrés Bazerque, Georgios B. Giannakis
Online adaptive estimation of sparse signals: where RLS meets the l1-norm. IEEE Trans. Signal Process. 58 (7) (2010)
Juan Andrés Bazerque, Georgios B. Giannakis
Distributed spectrum sensing for cognitive radio networks by exploiting sparsity. IEEE Trans. Signal Process. 58 (3) (2010)
Gonzalo Mateos, Juan Andrés Bazerque, Georgios B. Giannakis
Distributed sparse linear regression. IEEE Trans. Signal Process. 58 (10) (2010)
Juan Andrés Bazerque, Georgios B. Giannakis
Distributed spectrum sensing for cognitive radios by exploiting sparsity. ACSCC (2008)
Juan Andrés Bazerque, Georgios B. Giannakis
Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios. Mob. Networks Appl. 13 (5) (2008)
Juan Andrés Bazerque, Georgios B. Giannakis
Distributed Scheduling and Resource Allocation for Cognitive OFDMA Radios. CrownCom (2007)