Javier García

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 18

Top Topics

State And Action Spaces

Markov Decision Processes

Storage Capacity

Reinforcement Learning

Top Venues

Eng. Appl. Artif. Intell.

Int. J. Inf. Technol. Decis. Mak.

Publications

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) (2023)
Oscar Fernández Vicente, Fernando Fernández, Javier García
Automated market maker inventory management with deep reinforcement learning. Appl. Intell. 53 (19) (2023)
Javier García, Álvaro Visús, Fernando Fernández
A taxonomy for similarity metrics between Markov decision processes. Mach. Learn. 111 (11) (2022)
Javier García, Ismael Sagredo
Instance-based defense against adversarial attacks in Deep Reinforcement Learning. Eng. Appl. Artif. Intell. 107 (2022)
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) (2021)
Rubén Majadas, Javier García, Fernando Fernández
Disturbing Reinforcement Learning Agents with Corrupted Rewards. CoRR (2021)
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) (2020)
Javier García, Rubén Majadas, Fernando Fernández
Learning adversarial attack policies through multi-objective reinforcement learning. Eng. Appl. Artif. Intell. 96 (2020)
Elena Krasheninnikova, Javier García, Roberto Maestre, Fernando Fernández
Reinforcement learning for pricing strategy optimization in the insurance industry. Eng. Appl. Artif. Intell. 80 (2019)
Javier García, Fernando Fernández
Probabilistic Policy Reuse for Safe Reinforcement Learning. ACM Trans. Auton. Adapt. Syst. 13 (3) (2019)
Javier García, Roberto Iglesias, Miguel A. Rodríguez, Carlos V. Regueiro
Directed Exploration in Black-Box Optimization for Multi-Objective Reinforcement Learning. Int. J. Inf. Technol. Decis. Mak. 18 (3) (2019)
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)
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)
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) (2018)
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)
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)
Florin Isaila, Javier García, Jesús Carretero, Robert B. Ross, Dries Kimpe
Making the case for reforming the I/O software stack of extreme-scale systems. Adv. Eng. Softw. 111 (2017)
Javier García, Roberto Iglesias, Miguel A. Rodríguez, Carlos V. Regueiro
Incremental reinforcement learning for multi-objective robotic tasks. Knowl. Inf. Syst. 51 (3) (2017)
Javier García, Fernando Fernández
A comprehensive survey on safe reinforcement learning. J. Mach. Learn. Res. 16 (2015)
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) (2014)
Javier García, Fernando Fernández
Safe Exploration of State and Action Spaces in Reinforcement Learning. CoRR (2014)
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) (2013)
Laura Prada, Javier García, Alejandro Calderón, José Daniel García, Jesús Carretero
A novel black-box simulation model methodology for predicting performance and energy consumption in commodity storage devices. Simul. Model. Pract. Theory 34 (2013)
José Daniel García, Jesús Carretero, Javier García, Luis Miguel Sánchez, Félix García
A web cluster architectural proposal for balancing storage capacity and reliability by using partial replication. Comput. Syst. Sci. Eng. 28 (3) (2013)
Laura Prada, Alejandro Calderón, Javier García, José Daniel García, Jesús Carretero
A Black Box Model for Storage Devices Based on Probability Distributions. ISPA (2012)
Javier García, Fernando Fernández
Safe Exploration of State and Action Spaces in Reinforcement Learning. J. Artif. Intell. Res. 45 (2012)
Javier García, Fernando Borrajo, Fernando Fernández
Reinforcement Learning for Decision-Making in a Business Simulator. Int. J. Inf. Technol. Decis. Mak. 11 (5) (2012)
Laura Prada, Javier García, José Daniel García, Jesús Carretero, Alberto Nuñez
A Power-Aware Based Storage Architecture for High Performance Computing. HPCC (2011)
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) (2011)
Laura Prada, Javier García, José Daniel García, Jesús Carretero
Power saving-aware prefetching for SSD-based systems. J. Supercomput. 58 (3) (2011)
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)
Fernando Borrajo, Yolanda Bueno, Isidro de Pablo, Begoña Santos, Fernando Fernández, Javier García, Ismael Sagredo
SIMBA: A simulator for business education and research. Decis. Support Syst. 48 (3) (2010)
Fernando Fernández, Javier García, Manuela M. Veloso
Probabilistic Policy Reuse for inter-task transfer learning. Robotics Auton. Syst. 58 (7) (2010)
Javier García, Fernando Borrajo, Fernando Fernández
Learning Virtual Agents for Decision-Making in Business Simulators. MALLOW (2010)
Iván López-Bueno, Javier García, Fernando Fernández
Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. IWANN (1) (2009)
José Francisco Landaeta, Javier García, Antonio de Amescua Seco
Practical SPI Planning. EuroSPI (2008)
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)
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)
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)