David Martínez received his PhD at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC) under the supervision of Guillem Alenyà and Carme Torras, as a member of the Perception and Manipulation line. In 2015 he joined the Inference and Learning group at the National Institute of Informatics for a 6 month internship. He obtained his BSc in Computer Engineering degree from Universidad de León in 2010, and his MSc in Automatic Control and Robotics from BarcelonaTech in 2012. His research interests are in the area of planning and learning applied to robotic applications. He has worked on learning models for task planning, integrating reinforcement learning with human-robot interaction, and applying task planning to robotic problems.

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Relational Reinforcement Learning for Planning with Exogenous Effects
D. Martínez, G. Alenyà, T. Ribeiro and K. Inoue, C. Torras
Journal of Machine Learning Research, 2017

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Learning Relational Dynamics of Stochastic Domains for Planning
D. Martínez, G. Alenyà, C. Torras, T. Ribeiro and K. Inoue
International Conference on Automated Planning and Scheduling, 2016, pp. 235-243

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Relational reinforcement learning with guided demonstrations
D. Martínez, G. Alenyà, and C. Torras
Artificial Intelligence, 247: 295-312, 2017

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V-MIN: Efficient reinforcement learning through demonstrations and relaxed reward demands
D. Martínez, G. Alenyà, and C. Torras
Proceedings of the AAAI Conference on Artificial Intelligence, 2015, pp. 2857–2863

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Planning robot manipulation to clean planar surfaces
D. Martínez, G. Alenyà, and C. Torras
Engineering Applications of Artificial Intelligence, 39: 23-32, 2015

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