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ORCIDFernando Fernández 0001
Fernando Fernández Rebollo
Person information
- affiliation (PhD 2003): University Carlos III Madrid (UC3M), Computer Science Department, Spain
- affiliation (2004-2005): Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Fernando Fernández (aka: Fernando Fernandez) — disambiguation page
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2020 – today
- 2024
[j43]Rubén Majadas
, Javier García-Polo, Fernando Fernández:
Clustering-based attack detection for adversarial reinforcement learning. Appl. Intell. 54(3): 2631-2647 (2024)- 2023
- [j42]Oscar Fernández Vicente, Fernando Fernández, Javier García:
Automated market maker inventory management with deep reinforcement learning. Appl. Intell. 53(19): 22249-22266 (2023) - [j41]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) - [c42]Alba Gragera, Raquel Fuentetaja, Ángel García Olaya, Fernando Fernández:
A Planning Approach to Repair Domains with Incomplete Action Effects. ICAPS 2023: 153-161 - 2022
- [j40]Javier García, Álvaro Visús, Fernando Fernández:
A taxonomy for similarity metrics between Markov decision processes. Mach. Learn. 111(11): 4217-4247 (2022) - 2021
- [j39]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) - [c41]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 - [c40]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
- [j38]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) - [j37]Javier García, Rubén Majadas, Fernando Fernández:
Learning adversarial attack policies through multi-objective reinforcement learning. Eng. Appl. Artif. Intell. 96: 104021 (2020) - [j36]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) - [c39]José Carlos González, Angel García Olaya, Fernando Fernández:
Multi-Layered Multi-Robot Control Architecture for the Robocup Logistics League. ICARSC 2020: 120-125
2010 – 2019
- 2019
- [j35]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) - [j34]Misra Turp, José Carlos González, José Carlos Pulido, Fernando Fernández:
Developing a Robot-Guided Interactive Simon Game for Physical and Cognitive Training. Int. J. Humanoid Robotics 16(1): 1950003:1-1950003:22 (2019) - [j33]José Carlos Pulido, Cristina Suarez-Mejias, José Carlos González, Alvaro Dueñas-Ruiz, Patricia Ferrand Ferri, Maria Encarnacion Martinez Sahuquillo, Carmen Echevarria Ruiz De Vargas, Pedro Infante-Cossio, Carlos Luis Parra Calderón, Fernando Fernández:
A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation: A Longitudinal Study With Pediatric Patients. IEEE Robotics Autom. Mag. 26(2): 24-39 (2019) - [j32]Javier García, Fernando Fernández:
Probabilistic Policy Reuse for Safe Reinforcement Learning. ACM Trans. Auton. Adapt. Syst. 13(3): 14:1-14:24 (2019) - [c38]Alba Gragera, Alba María García, Fernando Fernández:
A Modelling and Formalisation Tool for Use Case Design in Social Autonomous Robotics. ROBOT (2) 2019: 656-667 - [c37]Adrián Gallego, José Carlos Pulido, José Carlos González, Fernando Fernández:
Design of a Robotic as a Service Platform to Perform Rehabilitation Therapies. ROBOT (2) 2019: 681-692 - 2018
- [j31]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) - [c36]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 - [c35]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
- [j30]José Carlos González, José Carlos Pulido, Fernando Fernández:
A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots. Cogn. Syst. Res. 43: 232-249 (2017) - [j29]Francisco Martinez-Gil, Miguel Lozano, Ignacio García-Fernández, Fernando Fernández:
Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review. ACM Comput. Surv. 50(5): 72:1-72:35 (2017) - [j28]José Carlos Pulido, José Carlos González, Cristina Suarez-Mejias, Antonio Bandera, Pablo Bustos, Fernando Fernández:
Evaluating the Child-Robot Interaction of the NAOTherapist Platform in Pediatric Rehabilitation. Int. J. Soc. Robotics 9(3): 343-358 (2017) - [j27]Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández:
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models. Simul. Model. Pract. Theory 74: 117-133 (2017) - [c34]Tomás de la Rosa, Isabel Cenamor, Fernando Fernández:
Performance Modelling of Planners from Homogeneous Problem Sets. ICAPS 2017: 425-433 - [c33]Enrique García Estévez, Irene Díaz Portales, José Carlos Pulido, Raquel Fuentetaja, Fernando Fernández:
Enhancing a Robotic Rehabilitation Model for Hand-Arm Bimanual Intensive Therapy. ROBOT (1) 2017: 379-390 - [c32]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 - [c31]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
- [j26]Isabel Cenamor, Tomás de la Rosa, Fernando Fernández:
The IBaCoP Planning System: Instance-Based Configured Portfolios. J. Artif. Intell. Res. 56: 657-691 (2016) - [j25]Moisés Martínez, Fernando Fernández, Daniel Borrajo:
Planning and execution through variable resolution planning. Robotics Auton. Syst. 83: 214-230 (2016) - 2015
- [j24]Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández:
Strategies for simulating pedestrian navigation with multiple reinforcement learning agents. Auton. Agents Multi Agent Syst. 29(1): 98-130 (2015) - [j23]Javier García, Fernando Fernández:
A comprehensive survey on safe reinforcement learning. J. Mach. Learn. Res. 16: 1437-1480 (2015) - [c30]Fernando Fernández, Moisés Martínez, Ismael García-Varea, Jesus Martínez-Gómez, José Manuel Pérez-Lorenzo, Raquel Viciana-Abad, Pablo Bustos, Luis Jesús Manso, Luis Calderita, M. Gutiérrez, Pedro Núñez Trujillo, Antonio Bandera, Adrián Romero-Garcés, Juan Pedro Bandera Rubio, Rebeca Marfil:
Gualzru's Path to the Advertisement World. FinE-R@IROS 2015: 55-65 - [c29]José Carlos González, José Carlos Pulido, Fernando Fernández, Cristina Suarez-Mejias:
Planning, Execution and Monitoring of Physical Rehabilitation Therapies with a Robotic Architecture. MIE 2015: 339-343 - [c28]Alejandro Martín, José Carlos González, José Carlos Pulido, Angel García Olaya, Fernando Fernández, Cristina Suarez:
Therapy Monitoring and Patient Evaluation with Social Robots. REHAB 2015: 152-155 - 2014
- [j22]Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández:
MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups. Simul. Model. Pract. Theory 47: 259-275 (2014) - [c27]Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández:
Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study. MABS 2014: 228-238 - [i1]Javier García, Fernando Fernández:
Safe Exploration of State and Action Spaces in Reinforcement Learning. CoRR abs/1402.0560 (2014) - 2013
- [j21]Sergio Jiménez Celorrio, Fernando Fernández, Daniel Borrajo:
Integrating Planning, Execution, and Learning to Improve Plan Execution. Comput. Intell. 29(1): 1-36 (2013) - [j20]Susana Fernández, Tomás de la Rosa, Fernando Fernández, Rubén Suárez, Javier Ortiz Laguna, Daniel Borrajo, David Manzano-Macho:
Using automated planning for improving data mining processes. Knowl. Eng. Rev. 28(2): 157-173 (2013) - [j19]Fernando Fernández, Manuela M. Veloso:
Learning domain structure through probabilistic policy reuse in reinforcement learning. Prog. Artif. Intell. 2(1): 13-27 (2013) - [j18]Víctor González-Pacheco, María Malfaz, Fernando Fernández, Miguel A. Salichs:
Teaching Human Poses Interactively to a Social Robot. Sensors 13(9): 12406-12430 (2013) - [c26]Antonio Jesús Palomino, Angel García Olaya, Fernando Fernández, Juan Pedro Bandera Rubio:
From perception to action and vice versa: A new architecture showing how perception and action can modulate each other simultaneously. ECMR 2013: 268-273 - [c25]Luis Calderita, Pablo Bustos, Cristina Suarez-Mejias, Fernando Fernández, Antonio Bandera:
THERAPIST: Towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children. PervasiveHealth 2013: 374-377 - 2012
- [j17]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) - [j16]José Eloy Flórez, Javier Carbó, Fernando Fernández:
A Meta-Tool to Support the Development of Knowledge Engineering Methodologies and Projects. Int. J. Softw. Eng. Knowl. Eng. 22(8): 1055-1084 (2012) - [j15]Javier García, Fernando Fernández:
Safe Exploration of State and Action Spaces in Reinforcement Learning. J. Artif. Intell. Res. 45: 515-564 (2012) - [j14]Sergio Jiménez Celorrio, Tomás de la Rosa, Susana Fernández, Fernando Fernández, Daniel Borrajo:
A review of machine learning for automated planning. Knowl. Eng. Rev. 27(4): 433-467 (2012) - [j13]Rocío García-Durán, Fernando Fernández, Daniel Borrajo:
A prototype-based method for classification with time constraints: a case study on automated planning. Pattern Anal. Appl. 15(3): 261-277 (2012) - [c24]Javier González-Quijano, Mohamed Abderrahim, Fernando Fernández, Choukri Bensalah:
A kinodynamic planning-learning algorithm for complex robot motor control. EAIS 2012: 80-83 - [c23]Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández:
Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation. MIG 2012: 302-313 - 2011
- [c22]Ezequiel Quintero, Vidal Alcázar, Daniel Borrajo, Juan Fernández-Olivares, Fernando Fernández, Angel García Olaya, Cesar Guzman, Eva Onaindia, David Prior:
Autonomous Mobile Robot Control and Learning with the PELEA Architecture. Automated Action Planning for Autonomous Mobile Robots 2011 - [c21]Francisco Javier García-Polo, Fernando Fernández Rebollo:
Safe reinforcement learning in high-risk tasks through policy improvement. ADPRL 2011: 76-83 - [c20]Francisco Martinez-Gil, Miguel Lozano, Fernando Fernández:
Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation. ALA 2011: 54-69 - [c19]Rubén Suárez, Rocío García-Durán, Fernando Fernández:
A Similarity Function with Local Feature Weighting for Structured Data. ESANN 2011 - 2010
- [j12]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): 498-506 (2010) - [j11]Fernando Fernández, Javier García, Manuela M. Veloso:
Probabilistic Policy Reuse for inter-task transfer learning. Robotics Auton. Syst. 58(7): 866-871 (2010) - [c18]Francisco Martinez-Gil, Fernando Barber, Miguel Lozano, Francisco Grimaldo, Fernando Fernández:
A Reinforcement Learning Approach for Multiagent Navigation. ICAART (1) 2010: 607-610 - [c17]Javier García, Fernando Borrajo, Fernando Fernández:
Learning Virtual Agents for Decision-Making in Business Simulators. MALLOW 2010
2000 – 2009
- 2009
- [j10]Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández:
Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning. Appl. Intell. 31(1): 89-106 (2009) - [j9]Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández:
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems. Knowl. Based Syst. 22(4): 266-270 (2009) - [c16]Iván López-Bueno, Javier García, Fernando Fernández:
Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks. IWANN (1) 2009: 577-584 - [c15]Fernando Fernández, Daniel Borrajo, Susana Fernández, David Manzano-Macho:
Assisting Data Mining through Automated Planning. MLDM 2009: 760-774 - 2008
- [j8]Fernando Fernández, Pedro Isasi:
Nearest prototype classification of noisy data. Artif. Intell. Rev. 30(1-4): 53-66 (2008) - [j7]Fernando Fernández, Daniel Borrajo:
Two steps reinforcement learning. Int. J. Intell. Syst. 23(2): 213-245 (2008) - [j6]Fernando Fernández, Pedro Isasi:
Local Feature Weighting in Nearest Prototype Classification. IEEE Trans. Neural Networks 19(1): 40-53 (2008) - [c14]Sergio Jiménez Celorrio, Fernando Fernández, Daniel Borrajo:
The PELA Architecture: Integrating Planning and Learning to Improve Execution. AAAI 2008: 1294-1299 - [c13]Rocío García-Durán, Fernando Fernández, Daniel Borrajo:
Prototypes Based Relational Learning. AIMSA 2008: 130-143 - 2006
- [j5]David Camacho, Fernando Fernández, Miguel A. Rodelgo:
Roboskeleton: An architecture for coordinating robot soccer agents. Eng. Appl. Artif. Intell. 19(2): 179-188 (2006) - [c12]Fernando Fernández, Manuela M. Veloso:
Reusing and Building a Policy Library. ICAPS 2006: 378-381 - [c11]Fernando Fernández, Manuela M. Veloso:
Probabilistic policy reuse in a reinforcement learning agent. AAMAS 2006: 720-727 - [c10]Rocío García-Durán, Fernando Fernández, Daniel Borrajo:
Combining Macro-operators with Control Knowledge. ILP 2006: 229-243 - 2005
- [j4]Fernando Fernández, Daniel Borrajo, Lynne E. Parker:
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains. J. Intell. Robotic Syst. 43(2-4): 161-174 (2005) - [c9]Sergio Jiménez Celorrio, Fernando Fernández, Daniel Borrajo:
Machine Learning of Plan Robustness Knowledge About Instances. ECML 2005: 609-616 - 2004
- [j3]Fernando Fernández, Pedro Isasi:
Evolutionary Design of Nearest Prototype Classifiers. J. Heuristics 10(4): 431-454 (2004) - [c8]Ana Iglesias, Paloma Martínez, Ricardo Aler, Fernando Fernández:
Learning Content Sequencing in an Educational Environment According to Student Needs. ALT 2004: 454-463 - 2003
- [j2]Ana Iglesias, Paloma Martínez, Fernando Fernández:
An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System. Informatics Educ. 2(2): 223-240 (2003) - [c7]Agapito Ledezma, Fernando Fernández, Ricardo Aler:
From Continuous Behaviour to Discrete Knowledge. IWANN (2) 2003: 217-224 - [c6]Pedro Isasi, Fernando Fernández:
Evolutionary Approach to Overcome Initialization Parameters in Classification Problems. IWANN (1) 2003: 254-261 - [c5]Ana Iglesias, Paloma Martínez, Fernando Fernández:
Navigating through the RLATES Interface: A Web-Based Adaptive and Intelligent Educational System. OTM Workshops 2003: 175-184 - 2002
- [j1]Fernando Fernández, Pedro Isasi Viñuela:
Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor. Comput. Artif. Intell. 21(3): 205-220 (2002) - [c4]Fernando Fernández, Daniel Borrajo:
On Determinism Handling While Learning Reduced State Space Representations. ECAI 2002: 380-384 - [c3]Ana Iglesias, Paloma Martínez, Dolores Cuadra, Elena Castro, Fernando Fernández:
Learning to Teach Database Design by Trial and Error. ICEIS 2002: 500-505 - 2001
- [c2]Fernando Fernández, Pedro Isasi:
Designing nearest neighbour classifiers by the evolution of a population of prototypes. ESANN 2001: 171-178
1990 – 1999
- 1999
- [c1]Fernando Fernández, Daniel Borrajo:
VQQL. Applying Vector Quantization to Reinforcement Learning. RoboCup 1999: 292-303
Coauthor Index
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