Fernando Fernández

Orcid: 0000-0003-3801-6801

Affiliations:
  • University Carlos III Madrid (UC3M), Computer Science Department, Spain (PhD 2003)
  • Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA (2004-2005)


According to our database1, Fernando Fernández authored at least 90 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A gamified social robotics platform for intensive therapies in neurorehabilitation.
Intell. Serv. Robotics, May, 2024

Clustering-based attack detection for adversarial reinforcement learning.
Appl. Intell., February, 2024

2023
Discrete Uncertainty Quantification For Offline Reinforcement Learning.
J. Artif. Intell. Soft Comput. Res., October, 2023

Automated market maker inventory management with deep reinforcement learning.
Appl. Intell., October, 2023

Accessibility Evaluation of an Assistive Social Robotic Platform for Rehabilitation and Its Improvement by Means of Haptic Devices.
Proceedings of the CENTERIS 2023 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2023

A Planning Approach to Repair Domains with Incomplete Action Effects.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
A taxonomy for similarity metrics between Markov decision processes.
Mach. Learn., 2022

2021
Extending the Evaluation of Social Assistive Robots With Accessibility Indicators: The AUSUS Evaluation Framework.
IEEE Trans. Hum. Mach. Syst., 2021

Similarity metrics for Different Market Scenarios in Abides.
CoRR, 2021

A Taxonomy of Similarity Metrics for Markov Decision Processes.
CoRR, 2021

Disturbing Reinforcement Learning Agents with Corrupted Rewards.
CoRR, 2021

Probabilistic Multi-knowledge Transfer in Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Deep Q-learning market makers in a multi-agent simulated stock market.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020
An Automated Planning Model for HRI: Use Cases on Social Assistive Robotics.
Sensors, 2020

Learning adversarial attack policies through multi-objective reinforcement learning.
Eng. Appl. Artif. Intell., 2020

Perceptions or Actions? Grounding How Agents Interact Within a Software Architecture for Cognitive Robotics.
Cogn. Comput., 2020

Multi-Layered Multi-Robot Control Architecture for the Robocup Logistics League.
Proceedings of the 2020 IEEE International Conference on Autonomous Robot Systems and Competitions, 2020

2019
Probabilistic Policy Reuse for Safe Reinforcement Learning.
ACM Trans. Auton. Adapt. Syst., 2019

A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation: A Longitudinal Study With Pediatric Patients.
IEEE Robotics Autom. Mag., 2019

Developing a Robot-Guided Interactive Simon Game for Physical and Cognitive Training.
Int. J. Humanoid Robotics, 2019

Reinforcement learning for pricing strategy optimization in the insurance industry.
Eng. Appl. Artif. Intell., 2019

A Modelling and Formalisation Tool for Use Case Design in Social Autonomous Robotics.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Design of a Robotic as a Service Platform to Perform Rehabilitation Therapies.
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

2018
On-Line Case-Based Policy Learning for Automated Planning in Probabilistic Environments.
Int. J. Inf. Technol. Decis. Mak., 2018

Challenges on the Application of Automated Planning for Comprehensive Geriatric Assessment Using an Autonomous Social Robot.
Proceedings of the Advances in Physical Agents, 2018

Towards a robust robotic assistant for Comprehensive Geriatric Assessment procedures: updating the CLARC system.
Proceedings of the 27th IEEE International Symposium on Robot and Human Interactive Communication, 2018

2017
Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models.
Simul. Model. Pract. Theory, 2017

Evaluating the Child-Robot Interaction of the NAOTherapist Platform in Pediatric Rehabilitation.
Int. J. Soc. Robotics, 2017

Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review.
ACM Comput. Surv., 2017

A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots.
Cogn. Syst. Res., 2017


Enhancing a Robotic Rehabilitation Model for Hand-Arm Bimanual Intensive Therapy.
Proceedings of the ROBOT 2017: Third Iberian Robotics Conference, 2017


Performance Modelling of Planners from Homogeneous Problem Sets.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016
Planning and execution through variable resolution planning.
Robotics Auton. Syst., 2016

The IBaCoP Planning System: Instance-Based Configured Portfolios.
J. Artif. Intell. Res., 2016

2015
A comprehensive survey on safe reinforcement learning.
J. Mach. Learn. Res., 2015

Strategies for simulating pedestrian navigation with multiple reinforcement learning agents.
Auton. Agents Multi Agent Syst., 2015

Therapy Monitoring and Patient Evaluation with Social Robots.
Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques, 2015

Planning, Execution and Monitoring of Physical Rehabilitation Therapies with a Robotic Architecture.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Gualzru's Path to the Advertisement World.
Proceedings of the workshop the Path to Success: Failures in rEal Robots co-located with IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), 2015

2014
MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups.
Simul. Model. Pract. Theory, 2014

Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study.
Proceedings of the Multi-Agent-Based Simulation XV - International Workshop, 2014

2013
Teaching Human Poses Interactively to a Social Robot.
Sensors, 2013

Learning domain structure through probabilistic policy reuse in reinforcement learning.
Prog. Artif. Intell., 2013

Using automated planning for improving data mining processes.
Knowl. Eng. Rev., 2013

Integrating Planning, Execution, and Learning to Improve Plan Execution.
Comput. Intell., 2013

THERAPIST: Towards an autonomous socially interactive robot for motor and neurorehabilitation therapies for children.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

From perception to action and vice versa: A new architecture showing how perception and action can modulate each other simultaneously.
Proceedings of the 2013 European Conference on Mobile Robots, 2013

2012
A prototype-based method for classification with time constraints: a case study on automated planning.
Pattern Anal. Appl., 2012

A review of machine learning for automated planning.
Knowl. Eng. Rev., 2012

Safe Exploration of State and Action Spaces in Reinforcement Learning.
J. Artif. Intell. Res., 2012

A Meta-Tool to Support the Development of Knowledge Engineering Methodologies and Projects.
Int. J. Softw. Eng. Knowl. Eng., 2012

Reinforcement Learning for Decision-Making in a Business Simulator.
Int. J. Inf. Technol. Decis. Mak., 2012

Calibrating a Motion Model Based on Reinforcement Learning for Pedestrian Simulation.
Proceedings of the Motion in Games - 5th International Conference, 2012

A kinodynamic planning-learning algorithm for complex robot motor control.
Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011
A Similarity Function with Local Feature Weighting for Structured Data.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation.
Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

Safe reinforcement learning in high-risk tasks through policy improvement.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Autonomous Mobile Robot Control and Learning with the PELEA Architecture.
Proceedings of the Automated Action Planning for Autonomous Mobile Robots, 2011

2010
Probabilistic Policy Reuse for inter-task transfer learning.
Robotics Auton. Syst., 2010

SIMBA: A simulator for business education and research.
Decis. Support Syst., 2010

Learning Virtual Agents for Decision-Making in Business Simulators.
Proceedings of The Multi-Agent Logics, Languages, and Organisations Federated Workshops (MALLOW 2010), Lyon, France, August 30, 2010

A Reinforcement Learning Approach for Multiagent Navigation.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

2009
Reinforcement learning of pedagogical policies in adaptive and intelligent educational systems.
Knowl. Based Syst., 2009

Learning teaching strategies in an Adaptive and Intelligent Educational System through Reinforcement Learning.
Appl. Intell., 2009

Assisting Data Mining through Automated Planning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008
Local Feature Weighting in Nearest Prototype Classification.
IEEE Trans. Neural Networks, 2008

Two steps reinforcement learning.
Int. J. Intell. Syst., 2008

Nearest prototype classification of noisy data.
Artif. Intell. Rev., 2008

Prototypes Based Relational Learning.
Proceedings of the Artificial Intelligence: Methodology, 2008

The PELA Architecture: Integrating Planning and Learning to Improve Execution.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2006
Roboskeleton: An architecture for coordinating robot soccer agents.
Eng. Appl. Artif. Intell., 2006

Combining Macro-operators with Control Knowledge.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006

Probabilistic policy reuse in a reinforcement learning agent.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

Reusing and Building a Policy Library.
Proceedings of the Sixteenth International Conference on Automated Planning and Scheduling, 2006

2005
A Reinforcement Learning Algorithm in Cooperative Multi-Robot Domains.
J. Intell. Robotic Syst., 2005

Machine Learning of Plan Robustness Knowledge About Instances.
Proceedings of the Machine Learning: ECML 2005, 2005

2004
Evolutionary Design of Nearest Prototype Classifiers.
J. Heuristics, 2004

Learning Content Sequencing in an Educational Environment According to Student Needs.
Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004

2003
An Experience Applying Reinforcement Learning in a Web-Based Adaptive and Intelligent Educational System.
Informatics Educ., 2003

Navigating through the RLATES Interface: A Web-Based Adaptive and Intelligent Educational System.
Proceedings of the On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops, 2003

From Continuous Behaviour to Discrete Knowledge.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Evolutionary Approach to Overcome Initialization Parameters in Classification Problems.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2002
Automatic Finding of Good Classifiers Following a Biologically Inspired Metaphor.
Comput. Artif. Intell., 2002

Learning to Teach Database Design by Trial and Error.
Proceedings of the ICEIS 2002, 2002

On Determinism Handling While Learning Reduced State Space Representations.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Designing nearest neighbour classifiers by the evolution of a population of prototypes.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001

1999
VQQL. Applying Vector Quantization to Reinforcement Learning.
Proceedings of the RoboCup-99: Robot Soccer World Cup III, 1999


  Loading...