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Miguel Calvo-Fullana
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2020 – today
- 2024
- [j11]Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning With Rewards. IEEE Trans. Autom. Control. 69(7): 4275-4290 (2024) - [j10]Miguel Calvo-Fullana, Mikhail Gerasimenko, Daniel Mox, Leopoldo Agorio, Mariana del Castillo, Vijay Kumar, Alejandro Ribeiro, Juan Andrés Bazerque:
A Networked Multiagent System for Mobile Wireless Infrastructure on Demand. IEEE Trans. Robotics 40: 4598-4614 (2024) - [c20]Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque:
Multi-agent assignment via state augmented reinforcement learning. L4DC 2024: 1202-1213 - [i20]Leopoldo Agorio, Sean Van Alen, Miguel Calvo-Fullana, Santiago Paternain, Juan Andrés Bazerque:
Multi-agent assignment via state augmented reinforcement learning. CoRR abs/2406.01782 (2024) - 2023
- [j9]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. IEEE Trans. Autom. Control. 68(3): 1321-1336 (2023) - [j8]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Learning With Non-Convex Losses. IEEE Trans. Inf. Theory 69(3): 1739-1760 (2023) - [c19]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-Task Bias-Variance Trade-Off Through Functional Constraints. ICASSP 2023: 1-5 - [i19]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 abs/2306.08737 (2023) - 2022
- [c18]Miguel Calvo-Fullana, Jonathan P. How:
Distributed Filtering with Value of Information Censoring. ACC 2022: 4451-4457 - [c17]Miguel Calvo-Fullana, Jonathan P. How:
Mission-Aware Value of Information Censoring for Distributed Filtering. CDC 2022: 3920-3925 - [c16]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. IROS 2022: 4391-4398 - [i18]Yulun Tian, Amrit Singh Bedi, Alec Koppel, Miguel Calvo-Fullana, David M. Rosen, Jonathan P. How:
Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. CoRR abs/2203.00851 (2022) - [i17]Miguel Calvo-Fullana, Jonathan P. How:
Distributed Filtering with Value of Information Censoring. CoRR abs/2204.00474 (2022) - [i16]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Bias-Variance Trade-off Through Functional Constraints. CoRR abs/2210.15573 (2022) - [i15]Miguel Calvo-Fullana, Jonathan P. How:
Mission-Aware Value of Information Censoring for Distributed Filtering. CoRR abs/2211.11038 (2022) - 2021
- [j7]Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro:
Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas. IEEE Commun. Mag. 59(1): 22-27 (2021) - [j6]Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. IEEE Robotics Autom. Lett. 6(2): 1120-1127 (2021) - [j5]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: 5947-5962 (2021) - [c15]Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain:
Towards Safe Continuing Task Reinforcement Learning. ACC 2021: 902-908 - [c14]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. EUSIPCO 2021: 1381-1385 - [i14]Miguel Calvo-Fullana, Daniel Mox, Alexander Pyattaev, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators. CoRR abs/2101.10113 (2021) - [i13]Miguel Calvo-Fullana, Santiago Paternain, Luiz F. O. Chamon, Alejandro Ribeiro:
State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards. CoRR abs/2102.11941 (2021) - [i12]Miguel Calvo-Fullana, Luiz F. O. Chamon, Santiago Paternain:
Towards Safe Continuing Task Reinforcement Learning. CoRR abs/2102.12585 (2021) - [i11]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Learning with Non-Convex Losses. CoRR abs/2103.05134 (2021) - 2020
- [j4]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors. IEEE Trans. Signal Process. 68: 3961-3975 (2020) - [c13]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The Empirical Duality Gap of Constrained Statistical Learning. ICASSP 2020: 8374-8378 - [c12]Daniel Mox, Miguel Calvo-Fullana, Mikhail Gerasimenko, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Mobile Wireless Network Infrastructure on Demand. ICRA 2020: 7726-7732 - [i10]Daniel Mox, Miguel Calvo-Fullana, Jonathan Fink, Vijay Kumar, Alejandro Ribeiro:
Mobile Wireless Network Infrastructure on Demand. CoRR abs/2002.03026 (2020) - [i9]Luiz F. O. Chamon, Santiago Paternain, Miguel Calvo-Fullana, Alejandro Ribeiro:
The empirical duality gap of constrained statistical learning. CoRR abs/2002.05183 (2020) - [i8]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-learning. CoRR abs/2008.11895 (2020) - [i7]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Multi-task Supervised Learning via Cross-learning. CoRR abs/2010.12993 (2020)
2010 – 2019
- 2019
- [c11]Miguel Calvo-Fullana, Fikadu T. Dagefu, Brian M. Sadler, Alejandro Ribeiro:
Multi-mode Autonomous Communication Systems. ACSSC 2019: 1005-1009 - [c10]Juan Cerviño, Juan Andrés Bazerque, Miguel Calvo-Fullana, Alejandro Ribeiro:
Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces. ACC 2019: 4840-4846 - [c9]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Learning Safe Policies via Primal-Dual Methods. CDC 2019: 6491-6497 - [c8]Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. NeurIPS 2019: 7553-7563 - [c7]Tanmay Ram Godbole, Miguel Calvo-Fullana, Alexander Pyattaev, Daniel Mox, Sergey Andreev, Alejandro Ribeiro, Mikko Valkama:
Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems. SPAWC 2019: 1-5 - [i6]Santiago Paternain, Luiz F. O. Chamon, Miguel Calvo-Fullana, Alejandro Ribeiro:
Constrained Reinforcement Learning Has Zero Duality Gap. CoRR abs/1910.13393 (2019) - [i5]Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro:
Safe Policies for Reinforcement Learning via Primal-Dual Methods. CoRR abs/1911.09101 (2019) - 2018
- [j3]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. IEEE Trans. Signal Process. 66(13): 3363-3376 (2018) - [i4]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors. CoRR abs/1801.10141 (2018) - 2017
- [b1]Miguel Calvo-Fullana:
Estimation and control in energy harvesting wireless communication networks. Polytechnic University of Catalonia, Spain, 2017 - [j2]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro:
Reconstruction of Correlated Sources With Energy Harvesting Constraints in Delay-Constrained and Delay-Tolerant Communication Scenarios. IEEE Trans. Wirel. Commun. 16(3): 1974-1986 (2017) - [c6]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Random access policies for wireless networked control systems with energy harvesting sensors. ACC 2017: 3042-3047 - [c5]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Alejandro Ribeiro:
Stochastic backpressure in energy harvesting networks. ICASSP 2017: 3724-3728 - [i3]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro:
Reconstruction of Correlated Sources with Energy Harvesting Constraints in Delay-constrained and Delay-tolerant Communication Scenarios. CoRR abs/1701.06960 (2017) - [i2]Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros, Alejandro Ribeiro:
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks. CoRR abs/1711.00745 (2017) - 2016
- [j1]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro:
Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks. IEEE J. Sel. Areas Commun. 34(12): 3685-3695 (2016) - [c4]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro:
Decentralized sparsity-promoting sensor selection in energy harvesting wireless sensor networks. EUSIPCO 2016: 582-586 - [c3]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro, Sophie M. Fosson:
Sparsity-promoting sensor selection with energy harvesting constraints. ICASSP 2016: 3766-3770 - [i1]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro:
Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks. CoRR abs/1608.03875 (2016) - 2015
- [c2]Miguel Calvo-Fullana, Javier Matamoros, Carles Antón-Haro:
Sensor selection in energy harvesting wireless sensor networks. GlobalSIP 2015: 43-47 - [c1]Javier Matamoros, Miguel Calvo-Fullana, Carles Antón-Haro:
On the impact of correlated sampling processes in WSNs with energy-neutral operation. ICC 2015: 258-263
Coauthor Index
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