Requirements for a knowledge management framework to be used in software intensive organizations. - Paloma Martínez; Antonio de Amescua Seco; Javier García 001; Dolores Cuadra; Juan Llorens Morillo; José Miguel Fuentes; Diego Martín 001; Gonzalo Cuevas Agustín; José Antonio Calvo-Manzano Villalón; Tomás San Feliu Gilabert (IRI, 2005)

A Pattern-Based Solution to Bridge the Gap Between Theory and Practice in Using Process Models. - Antonio de Amescua Seco; Javier García 001; María Isabel Sánchez Segura; Fuensanta Medina-Domínguez (SPW/ProSim, 2006)

Extending Microsoft Team Foundation Server Architecture to Support Collaborative Product Patterns. - Fuensanta Medina-Domínguez; María Isabel Sánchez Segura; Antonio de Amescua Seco; Javier García 001 (ICSP, 2007)

Practical SPI Planning. - José Francisco Landaeta; Javier García 001; Antonio de Amescua Seco (EuroSPI, 2008)

A Study on How Software Engineering Supports Projects Management. - María Isabel Sánchez Segura; Javier García 001; Antonio de Amescua Seco; Fuensanta Medina-Domínguez; Arturo Mora-Soto (Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, 2008)

Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. - Iván López-Bueno; Javier García 001; Fernando Fernández 001 (IWANN (1), 2009)

Learning Virtual Agents for Decision-Making in Business Simulators. - Javier García 001; Fernando Borrajo; Fernando Fernández 001 (MALLOW, 2010)

SIMBA: A simulator for business education and research. - Fernando Borrajo; Yolanda Bueno; Isidro de Pablo; Begoña Santos; Fernando Fernández 001; Javier García 001; Ismael Sagredo-Olivenza (Decis. Support Syst., 2010)

Probabilistic Policy Reuse for inter-task transfer learning. - Fernando Fernández 001; Javier García 001; Manuela M. Veloso (Robotics Auton. Syst., 2010)

Safe reinforcement learning in high-risk tasks through policy improvement. - Francisco Javier García-Polo; Fernando Fernández Rebollo (ADPRL, 2011)

Planning Multi-Modal Transportation Problems. - José E. Flórez; Álvaro Torralba Arias de Reyna; Javier García 001; Carlos Linares López; Angel García Olaya; Daniel Borrajo (ICAPS, 2011)

Design guidelines for software processes knowledge repository development. - Javier García 001; Antonio de Amescua Seco; María Isabel Sánchez Segura; Leonardo Bermón-Angarita (Inf. Softw. Technol., 2011)

Reinforcement Learning for Decision-Making in a Business Simulator. - Javier García 001; Fernando Borrajo; Fernando Fernández 001 (Int. J. Inf. Technol. Decis. Mak., 2012)

Safe Exploration of State and Action Spaces in Reinforcement Learning. - Javier García 001; Fernando Fernández 001 (J. Artif. Intell. Res., 2012)

Combining linear programming and automated planning to solve intermodal transportation problems. - Javier García 001; José E. Flórez; Álvaro Torralba Arias de Reyna; Daniel Borrajo; Carlos Linares López; Angel García Olaya; Juan Sáenz (Eur. J. Oper. Res., 2013)

Skills and abilities for working in a global software development team: a competence model. - Javier Saldaña Ramos; Ana Sanz-Esteban; Javier García 001; Antonio Amescua (J. Softw. Evol. Process., 2014)

A comprehensive survey on safe reinforcement learning. - Javier García 001; Fernando Fernández 001 (J. Mach. Learn. Res., 2015)

TIMIPLAN: A Tool for Transportation Tasks. - Javier García 001; Álvaro Torralba; José E. Flórez; Daniel Borrajo; Carlos Linares López; Ángel García Olaya (Autonomic Road Transport Support Systems, 2016)

Integrating the users in the design of a robot for making Comprehensive Geriatric Assessments (CGA) to elderly people in care centers. - Karine Lan Hing Ting; Dimitri Voilmy; Ana Iglesias 001; José Carlos Pulido; Javier García 001; Adrián Romero-Garcés; Juan Pedro Bandera Rubio; Rebeca Marfil; Alvaro Dueñas-Ruiz (RO-MAN, 2017)

LifeBots I: Building the Software Infrastructure for Supporting Lifelong Technologies. - Antonio Bandera; Juan Pedro Bandera Rubio; Pablo Bustos; Fernando Fernández 001; Angel García Olaya; Javier García-Polo; Ismael García-Varea; Luis Jesús Manso; Rebeca Marfil; Jesus Martínez-Gómez; Pedro Núñez; José Manuel Pérez-Lorenzo; et al. (ROBOT (1), 2017)

CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios. - Dimitri Voilmy; Cristina Suarez; Adrián Romero-Garcés; Cristian Reuther; José Carlos Pulido; Rebeca Marfil; Luis Jesús Manso; Karine Lan Hing Ting; Ana Iglesias 001; José Carlos González; Javier García 001; Angel García Olaya; et al. (ROBOT (1), 2017)

Incremental reinforcement learning for multi-objective robotic tasks. - Javier García 001; Roberto Iglesias; Miguel A. Rodríguez; Carlos Vázquez Regueiro (Knowl. Inf. Syst., 2017)

Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: updating the CLARC system. - Jesús Martínez; Adrián Romero-Garcés; Cristina Suarez; Rebeca Marfil; Karine Lan Hing Ting; Ana Iglesias 001; Javier García 001; Fernando Fernández 001; Alvaro Dueñas-Ruiz; Luis V. Calderita; Antonio Bandera; Juan Pedro Bandera Rubio (RO-MAN, 2018)

Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot. - Angel García Olaya; Raquel Fuentetaja 001; Javier García-Polo; José Carlos González; Fernando Fernández 001 (WAF, 2018)

Adaptation of the Difficulty Level in an Infant-Robot Movement Contingency Study. - José Carlos Pulido; Rebecca Funke; Javier García 001; Beth A. Smith; Maja J. Mataric (WAF, 2018)

On-Line Case-Based Policy Learning for Automated Planning in Probabilistic Environments. - Moisés Martínez; Javier García 001; Fernando Fernández 001 (Int. J. Inf. Technol. Decis. Mak., 2018)

Reinforcement learning for pricing strategy optimization in the insurance industry. - Elena Krasheninnikova; Javier García 001; Roberto Maestre; Fernando Fernández 001 (Eng. Appl. Artif. Intell., 2019)

Directed Exploration in Black-Box Optimization for Multi-Objective Reinforcement Learning. - Javier García 001; Roberto Iglesias; Miguel A. Rodríguez; Carlos Vázquez Regueiro (Int. J. Inf. Technol. Decis. Mak., 2019)

Probabilistic Policy Reuse for Safe Reinforcement Learning. - Javier García 001; Fernando Fernández 001 (ACM Trans. Auton. Adapt. Syst., 2019)

Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics. - Rebeca Marfil; Adrián Romero-Garcés; Juan Pedro Bandera Rubio; Luis J. Manso; Luis V. Calderita; Pablo Bustos; Antonio Bandera; Javier García-Polo; Fernando Fernández 001; Dimitri Voilmy (Cogn. Comput., 2020)

Learning adversarial attack policies through multi-objective reinforcement learning. - Javier García 001; Rubén Majadas; Fernando Fernández 001 (Eng. Appl. Artif. Intell., 2020)

An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics. - Raquel Fuentetaja 001; Angel García Olaya; Javier García 001; José Carlos González; Fernando Fernández 001 (Sensors, 2020)

Deep Q-learning market makers in a multi-agent simulated stock market. - Oscar Fernández Vicente; Fernando Fernández Rebollo; Francisco Javier García-Polo (ICAIF, 2021)

Probabilistic Multi-knowledge Transfer in Reinforcement Learning. - Daniel Fernández; Fernando Fernández 001; Javier García 001 (ICMLA, 2021)

Disturbing Reinforcement Learning Agents with Corrupted Rewards. - Rubén Majadas; Javier García 001; Fernando Fernández 001 (CoRR, 2021)

A Taxonomy of Similarity Metrics for Markov Decision Processes. - Álvaro Visús; Javier García 001; Fernando Fernández 001 (CoRR, 2021)

Similarity metrics for Different Market Scenarios in Abides. - Diego Pino; Javier García 001; Fernando Fernández 001; Svitlana Vyetrenko (CoRR, 2021)

Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework. - Ana Iglesias 001; Javier García 001; Angel García Olaya; Raquel Fuentetaja 001; Fernando Fernández 001; Adrián Romero-Garcés; Rebeca Marfil; Antonio Bandera; Karine Lan Hing Ting; Dimitri Voilmy; Alvaro Dueñas-Ruiz; Cristina Suárez-Mejías (IEEE Trans. Hum. Mach. Syst., 2021)

Instance-based defense against adversarial attacks in Deep Reinforcement Learning. - Javier García 001; Ismael Sagredo-Olivenza (Eng. Appl. Artif. Intell., 2022)

A taxonomy for similarity metrics between Markov decision processes. - Javier García 001; Álvaro Visús; Fernando Fernández 001 (Mach. Learn., 2022)

Automated market maker inventory management with deep reinforcement learning. - Oscar Fernández Vicente; Fernando Fernández 001; Javier García 001 (Appl. Intell., 2023)

Discrete Uncertainty Quantification For Offline Reinforcement Learning. - José Luis Pérez; Javier Corrochano; Javier García 001; Rubén Majadas; Cristina Ibáñez-Llano; Sergio Pérez 002; Fernando Fernández 001 (J. Artif. Intell. Soft Comput. Res., 2023)

Clustering-based attack detection for adversarial reinforcement learning. - Rubén Majadas; Javier García-Polo; Fernando Fernández 001 (Appl. Intell., 2024)

Learning state-action correspondence across reinforcement learning control tasks via partially paired trajectories. - Javier García 001; Iñaki Rañó; J. Miguel Burés; Xosé R. Fernández-Vidal; Roberto Iglesias (Appl. Intell., 2025)

Policy weighting via discounted Thomson sampling for non-stationary market-making. - Oscar Fernández Vicente; Javier García 001; Fernando Fernández 001 (Artif. Intell. Rev., 2025)

Optimizing market-making strategies: A multi-objective reinforcement learning approach with pareto fronts. - Oscar Fernández Vicente; Javier García 001; Fernando Fernández 001 (Expert Syst. Appl., 2026)