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Javier García 0001
Person information
- affiliation: University Carlos III of Madrid, Leganés, Spain
- affiliation: University of Santiago de Compostela, Spain
Other persons with the same name
- Javier García — disambiguation page
- Javier García 0002 — University of Oviedo, Gijón, Spain
- Javier García 0003 (aka: Francisco Javier García Gómez) — Technical University Munich, Germany
- Javier García 0004 (aka: Javier García Fernández) — University of Jaén, Department of Computer Science, Spain
- Francisco Javier García Blas (aka: Javier García Blas, Javier García-Blas, Javier García 0005) — University Carlos III of Madrid, Computer Architecture and Technology Group, Spain
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2020 – today
- 2024
- [j22]Rubén Majadas, Javier García-Polo, Fernando Fernández:
Clustering-based attack detection for adversarial reinforcement learning. Appl. Intell. 54(3): 2631-2647 (2024) - 2023
- [j21]Oscar Fernández Vicente, Fernando Fernández, Javier García:
Automated market maker inventory management with deep reinforcement learning. Appl. Intell. 53(19): 22249-22266 (2023) - [j20]José Luis Pérez, Javier Corrochano, Javier García, Rubén Majadas, Cristina Ibáñez-Llano, Sergio Pérez, Fernando Fernández:
Discrete Uncertainty Quantification For Offline Reinforcement Learning. J. Artif. Intell. Soft Comput. Res. 13(4): 273-287 (2023) - 2022
- [j19]Javier García, Ismael Sagredo-Olivenza:
Instance-based defense against adversarial attacks in Deep Reinforcement Learning. Eng. Appl. Artif. Intell. 107: 104514 (2022) - [j18]Javier García, Álvaro Visús, Fernando Fernández:
A taxonomy for similarity metrics between Markov decision processes. Mach. Learn. 111(11): 4217-4247 (2022) - 2021
- [j17]Ana Iglesias, Javier García, Angel García Olaya, Raquel Fuentetaja, Fernando Fernández, Adrián Romero-Garcés, Rebeca Marfil, Antonio Bandera, Karine Lan Hing Ting, Dimitri Voilmy, Alvaro Dueñas-Ruiz, Cristina Suárez-Mejías:
Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework. IEEE Trans. Hum. Mach. Syst. 51(6): 601-612 (2021) - [c16]Oscar Fernández Vicente, Fernando Fernández Rebollo, Francisco Javier García-Polo:
Deep Q-learning market makers in a multi-agent simulated stock market. ICAIF 2021: 19:1-19:9 - [c15]Daniel Fernández, Fernando Fernández, Javier García:
Probabilistic Multi-knowledge Transfer in Reinforcement Learning. ICMLA 2021: 471-476 - [i5]Rubén Majadas, Javier García, Fernando Fernández:
Disturbing Reinforcement Learning Agents with Corrupted Rewards. CoRR abs/2102.06587 (2021) - [i4]Álvaro Visús, Javier García, Fernando Fernández:
A Taxonomy of Similarity Metrics for Markov Decision Processes. CoRR abs/2103.04706 (2021) - [i3]Diego Pino, Javier García, Fernando Fernández, Svitlana Vyetrenko:
Similarity metrics for Different Market Scenarios in Abides. CoRR abs/2107.09352 (2021) - [i2]Oscar Fernández Vicente, Fernando Fernández Rebollo, Francisco Javier García-Polo:
Deep Q-Learning Market Makers in a Multi-Agent Simulated Stock Market. CoRR abs/2112.04494 (2021) - 2020
- [j16]Rebeca Marfil, Adrián Romero-Garcés, Juan Pedro Bandera Rubio, Luis J. Manso, Luis V. Calderita, Pablo Bustos, Antonio Bandera, Javier García-Polo, Fernando Fernández, Dimitri Voilmy:
Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics. Cogn. Comput. 12(2): 479-497 (2020) - [j15]Javier García, Rubén Majadas, Fernando Fernández:
Learning adversarial attack policies through multi-objective reinforcement learning. Eng. Appl. Artif. Intell. 96: 104021 (2020) - [j14]Raquel Fuentetaja, Angel García Olaya, Javier García, José Carlos González, Fernando Fernández:
An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics. Sensors 20(22): 6520 (2020)
2010 – 2019
- 2019
- [j13]Elena Krasheninnikova, Javier García, Roberto Maestre, Fernando Fernández:
Reinforcement learning for pricing strategy optimization in the insurance industry. Eng. Appl. Artif. Intell. 80: 8-19 (2019) - [j12]Javier García, Roberto Iglesias, Miguel A. Rodríguez, Carlos Vázquez Regueiro:
Directed Exploration in Black-Box Optimization for Multi-Objective Reinforcement Learning. Int. J. Inf. Technol. Decis. Mak. 18(3): 1045-1082 (2019) - [j11]Javier García, Fernando Fernández:
Probabilistic Policy Reuse for Safe Reinforcement Learning. ACM Trans. Auton. Adapt. Syst. 13(3): 14:1-14:24 (2019) - 2018
- [j10]Moisés Martínez, Javier García, Fernando Fernández:
On-Line Case-Based Policy Learning for Automated Planning in Probabilistic Environments. Int. J. Inf. Technol. Decis. Mak. 17(3): 763-800 (2018) - [c14]Jesús Martínez, Adrián Romero-Garcés, Cristina Suarez, Rebeca Marfil, Karine Lan Hing Ting, Ana Iglesias, Javier García, Fernando Fernández, Alvaro Dueñas-Ruiz, Luis V. Calderita, Antonio Bandera, Juan Pedro Bandera Rubio:
Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: updating the CLARC system. RO-MAN 2018: 820-825 - [c13]José Carlos Pulido, Rebecca Funke, Javier García, Beth A. Smith, Maja J. Mataric:
Adaptation of the Difficulty Level in an Infant-Robot Movement Contingency Study. WAF 2018: 70-83 - [c12]Angel García Olaya, Raquel Fuentetaja, Javier García-Polo, José Carlos González, Fernando Fernández:
Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot. WAF 2018: 179-194 - 2017
- [j9]Javier García, Roberto Iglesias, Miguel A. Rodríguez, Carlos Vázquez Regueiro:
Incremental reinforcement learning for multi-objective robotic tasks. Knowl. Inf. Syst. 51(3): 911-940 (2017) - [c11]Karine Lan Hing Ting, Dimitri Voilmy, Ana Iglesias, José Carlos Pulido, Javier García, Adrián Romero-Garcés, Juan Pedro Bandera Rubio, Rebeca Marfil, Alvaro Dueñas-Ruiz:
Integrating the users in the design of a robot for making Comprehensive Geriatric Assessments (CGA) to elderly people in care centers. RO-MAN 2017: 483-488 - [c10]Antonio Bandera, Juan Pedro Bandera Rubio, Pablo Bustos, Fernando Fernández, Angel García Olaya, Javier García-Polo, Ismael García-Varea, Luis Jesús Manso, Rebeca Marfil, Jesus Martínez-Gómez, Pedro Núñez, José Manuel Pérez-Lorenzo, Pedro Reche López, Cristina Romero-González, Raquel Viciana-Abad:
LifeBots I: Building the Software Infrastructure for Supporting Lifelong Technologies. ROBOT (1) 2017: 391-402 - [c9]Dimitri Voilmy, Cristina Suarez, Adrián Romero-Garcés, Cristian Reuther, José Carlos Pulido, Rebeca Marfil, Luis Jesús Manso, Karine Lan Hing Ting, Ana Iglesias, José Carlos González, Javier García, Angel García Olaya, Raquel Fuentetaja, Fernando Fernández, Alvaro Dueñas-Ruiz, Luis Vicente Calderita, Pablo Bustos, T. Barile, Juan Pedro Bandera Rubio, Antonio Bandera:
CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios. ROBOT (1) 2017: 403-414 - 2016
- [p2]Javier García, Álvaro Torralba, José E. Flórez, Daniel Borrajo, Carlos Linares López, Ángel García Olaya:
TIMIPLAN: A Tool for Transportation Tasks. Autonomic Road Transport Support Systems 2016: 269-285 - 2015
- [j8]Javier García, Fernando Fernández:
A comprehensive survey on safe reinforcement learning. J. Mach. Learn. Res. 16: 1437-1480 (2015) - 2014
- [j7]Javier Saldaña Ramos, Ana Sanz-Esteban, Javier García, Antonio Amescua:
Skills and abilities for working in a global software development team: a competence model. J. Softw. Evol. Process. 26(3): 329-338 (2014) - [i1]Javier García, Fernando Fernández:
Safe Exploration of State and Action Spaces in Reinforcement Learning. CoRR abs/1402.0560 (2014) - 2013
- [j6]Javier García, José E. Flórez, Álvaro Torralba Arias de Reyna, Daniel Borrajo, Carlos Linares López, Angel García Olaya, Juan Sáenz:
Combining linear programming and automated planning to solve intermodal transportation problems. Eur. J. Oper. Res. 227(1): 216-226 (2013) - 2012
- [j5]Javier García, Fernando Borrajo, Fernando Fernández:
Reinforcement Learning for Decision-Making in a Business Simulator. Int. J. Inf. Technol. Decis. Mak. 11(5): 935-960 (2012) - [j4]Javier García, Fernando Fernández:
Safe Exploration of State and Action Spaces in Reinforcement Learning. J. Artif. Intell. Res. 45: 515-564 (2012) - 2011
- [j3]Javier García, Antonio de Amescua Seco, María Isabel Sánchez Segura, Leonardo Bermón-Angarita:
Design guidelines for software processes knowledge repository development. Inf. Softw. Technol. 53(8): 834-850 (2011) - [c8]Francisco Javier García-Polo, Fernando Fernández Rebollo:
Safe reinforcement learning in high-risk tasks through policy improvement. ADPRL 2011: 76-83 - [c7]José E. Flórez, Álvaro Torralba Arias de Reyna, Javier García, Carlos Linares López, Angel García Olaya, Daniel Borrajo:
Planning Multi-Modal Transportation Problems. ICAPS 2011 - 2010
- [j2]Fernando Borrajo, Yolanda Bueno, Isidro de Pablo, Begoña Santos, Fernando Fernández, Javier García, Ismael Sagredo-Olivenza:
SIMBA: A simulator for business education and research. Decis. Support Syst. 48(3): 498-506 (2010) - [j1]Fernando Fernández, Javier García, Manuela M. Veloso:
Probabilistic Policy Reuse for inter-task transfer learning. Robotics Auton. Syst. 58(7): 866-871 (2010) - [c6]Javier García, Fernando Borrajo, Fernando Fernández:
Learning Virtual Agents for Decision-Making in Business Simulators. MALLOW 2010
2000 – 2009
- 2009
- [c5]Iván López-Bueno, Javier García, Fernando Fernández:
Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. IWANN (1) 2009: 577-584 - 2008
- [c4]José Francisco Landaeta, Javier García, Antonio de Amescua Seco:
Practical SPI Planning. EuroSPI 2008: 82-93 - [p1]María Isabel Sánchez Segura, Javier García, Antonio de Amescua Seco, Fuensanta Medina-Domínguez, Arturo Mora-Soto:
A Study on How Software Engineering Supports Projects Management. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 161-165 - 2007
- [c3]Fuensanta Medina-Domínguez, María Isabel Sánchez Segura, Antonio de Amescua Seco, Javier García:
Extending Microsoft Team Foundation Server Architecture to Support Collaborative Product Patterns. ICSP 2007: 1-11 - 2006
- [c2]Antonio de Amescua Seco, Javier García, María Isabel Sánchez Segura, Fuensanta Medina-Domínguez:
A Pattern-Based Solution to Bridge the Gap Between Theory and Practice in Using Process Models. SPW/ProSim 2006: 97-104 - 2005
- [c1]Paloma Martínez, Antonio de Amescua Seco, Javier García, Dolores Cuadra, Juan Llorens Morillo, José Miguel Fuentes, Diego Martín, Gonzalo Cuevas Agustín, José Antonio Calvo-Manzano Villalón, Tomás San Feliu Gilabert:
Requirements for a knowledge management framework to be used in software intensive organizations. IRI 2005: 554-559
Coauthor Index
aka: Fernando Fernández Rebollo
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