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Ruben Solozabal
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2020 – today
- 2024
- [c12]Kun Song, Ruben Solozabal, Hao Li, Martin Takác, Lu Ren, Fakhri Karray:
Robustly Train Normalizing Flows via KL Divergence Regularization. AAAI 2024: 15047-15055 - [i6]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem with Time Windows. CoRR abs/2402.09765 (2024) - 2023
- [j6]Zangir Iklassov
, Ikboljon Sobirov
Reinforcement Learning Approach to Stochastic Vehicle Routing Problem With Correlated Demands. IEEE Access 11: 87958-87969 (2023) - [c11]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. ACML 2023: 502-517 - [c10]Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal Ochoa de Retana, Martin Takác:
On the Study of Curriculum Learning for Inferring Dispatching Policies on the Job Shop Scheduling. IJCAI 2023: 5350-5358 - [c9]Talal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác:
Regularization of the Policy Updates for Stabilizing Mean Field Games. PAKDD (2) 2023: 361-372 - [i5]Talal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác:
Regularization of the policy updates for stabilizing Mean Field Games. CoRR abs/2304.01547 (2023) - [i4]Zangir Iklassov, Ikboljon Sobirov, Ruben Solozabal, Martin Takác:
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem. CoRR abs/2311.07708 (2023) - 2022
- [i3]Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takác, Bin Gu:
Learning to Control under Time-Varying Environment. CoRR abs/2206.02507 (2022) - [i2]Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, Martin Takác:
Learning to generalize Dispatching rules on the Job Shop Scheduling. CoRR abs/2206.04423 (2022) - 2020
- [j5]Ruben Solozabal
Virtual Network Function Placement Optimization With Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 38(2): 292-303 (2020) - [c8]Bego Blanco
Intelligent Orchestration of End-to-End Network Slices for the Allocation of Mission Critical Services over NFV Architectures. AIAI Workshops 2020: 74-83 - [i1]Ruben Solozabal, Josu Ceberio, Martin Takác:
Constrained Combinatorial Optimization with Reinforcement Learning. CoRR abs/2006.11984 (2020)
2010 – 2019
- 2019
- [j4]Aitor Sanchoyerto
Analysis of the Impact of the Evolution Toward 5G Architectures on Mission Critical Push-to-Talk Services. IEEE Access 7: 115052-115061 (2019) - [j3]Michail-Alexandros Kourtis
A Cloud-Enabled Small Cell Architecture in 5G Networks for Broadcast/Multicast Services. IEEE Trans. Broadcast. 65(2): 414-424 (2019) - [j2]Alberto Carreras Mesa
Impact of Front-Haul Delays in Non-ideal Cloud Radio Access Networks. Wirel. Pers. Commun. 106(4): 2005-2022 (2019) - [c7]Maria Rita Spada, Jordi Pérez-Romero
Management of Mission Critical Public Safety Applications: the 5G ESSENCE Project. EuCNC 2019: 155-160 - [c6]Jordi Pérez-Romero
Supporting Mission Critical Services through Radio Access Network Slicing. ICT-DM 2019: 1-8 - [c5]Aitor Sanchoyerto
Orchestration of Mission-Critical Services over an NFV Architecture. AIAI (Workshops) 2019: 70-77 - 2018
- [j1]Ruben Solozabal, Aitor Sanchoyerto
Exploitation of Mobile Edge Computing in 5G Distributed Mission-Critical Push-to-Talk Service Deployment. IEEE Access 6: 37665-37675 (2018) - [c4]Rubén Solozabal, Aitor Sanchoyerto
Providing Mission-Critical Services over 5G Radio Access Network. AIAI 2018: 520-530 - [c3]Luis Zabala, Ruben Solozabal, Armando Ferro, Bego Blanco
Model of a Virtual Firewall Based on Stochastic Petri Nets. NCA 2018: 1-4 - [c2]Luis Zabala, Armando Ferro, Ruben Solozabal, Bego Blanco
Performance Analysis of a Network Sensor's Packet Processing System using Generalized Stochastic Petri Nets. PE-WASUN 2018: 63-70 - 2017
- [c1]Ruben Solozabal, Bego Blanco
Design of Virtual Infrastructure Manager with Novel VNF Placement Features for Edge Clouds in 5G. EANN 2017: 669-679
Coauthor Index
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