Browsing by Author "Martín Muñoz, Mario"
Now showing items 1-20 of 41
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A randomized algorithm for the exact solution of transductive support vector machines
(2015-05-13)
Article
Open AccessRandom sampling is an efficient method for dealing with constrained optimization problems. In computational geometry, this method has been successfully applied, through Clarkson’s algorithm (Clarkson 1996), to solve a ... -
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessUnderwater target localization using range-only and single-beacon (ROSB) techniques with autonomous vehicles has been used recently to improve the limitations of more complex methods, such as long baseline and ultra-short ... -
Adaptive optics control with multi-agent model-free reinforcement learning
(2022-01-14)
Article
Open AccessWe present a novel formulation of closed-loop adaptive optics (AO) control as a multi-agent reinforcement learning (MARL) problem in which the controller is able to learn a non-linear policy and does not need a priori ... -
Adaptive optics control with reinforcement learning: first steps
(Barcelona Supercomputing Center, 2021-05)
Conference report
Open AccessWhen planar wavefronts from distant stars traverse the atmosphere, they become distorted due to the atmosphere’s inhomogeneous temperature distribution. Adaptive Optics (AO) is the field in charge of correcting those ... -
An adaptable approach to learn realistic legged locomotion without examples
(2022)
Conference report
Open AccessLearning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are not yet flexible enough to be applicable ... -
Animats adaptation to complex environments as learning guided by evolution
(1995-03)
Research report
Open AccessIn this paper, a new approach to adapt animats to complex environments is proposed. It is based on the advantages and drawbacks of two known strategies: learning and evolution. The proposed approach uses a new learning by ... -
Approximate policy iteration using regularized Bellman residuals minimization
(Taylor & Francis, 2016)
Article
Open AccessReinforcement Learning (RL) provides a general methodology to solve complex uncertain decision problems, which are very challenging in many real-world applications. RL problem is modeled as a Markov Decision Process (MDP) ... -
Aprendizaje automático
(Edicions UPC, 1994)
Book
Open AccessEn este libro se introducen los conceptos básicos en una de las ramas más estudiadas actualmente dentro de la inteligencia artificial: el aprendizaje automático. Se estudian temas como el aprendizaje inductivo, el razonamiento ... -
Coin_flipper at eHealth-KD challenge 2019: voting LSTMs for key phrases and semantic relation identification applied to spanish eHealth texts
(CEUR-WS.org, 2019)
Conference report
Open AccessThis paper describes our approach presented for the eHealthKD 2019 challenge. Our participation was aimed at testing how far we could go using generic tools for Text-Processing but, at the same time, using common optimization ... -
Deep learning for detecting freezing of gait episodes in Parkinson’s disease based on accelerometers
(2017)
Conference report
Open AccessFreezing of gait (FOG) is one of the most incapacitating symptoms among the motor alterations of Parkinson’s disease (PD). Manifesting FOG episodes reduce patients’ quality of life and their autonomy to perform daily living ... -
Deep learning for freezing of gait detection in Parkinson’s disease patients in their homes using a waist-worn inertial measurement unit
(2017-10-16)
Article
Open AccessAmong Parkinson’s disease (PD) motor symptoms, freezing of gait (FOG) may be the most incapacitating. FOG episodes may result in falls and reduce patients’ quality of life. Accurate assessment of FOG would provide objective ... -
Denoising wavefront sensor image with deep neural networks
(International Society for Photo-Optical Instrumentation Engineers (SPIE), 2020)
Conference report
Open AccessA classical closed-loop adaptive optics system with a Shack-Hartmann wavefront sensor (WFS) relies on a center of gravity approach to process the WFS information and an integrator with gain to produce the commands to a ... -
DIALCAT: Diabetes as an accelerator of cognitive impairment and Alzheimer's disease, comprehensive approach and adherence to treatment
(2019-01-01)
Article
Open AccessIn this article, we present the designof an mHealth system to support senior citizens with chronic diseases in managing their adherenceto pharmacological treatment. The DIALCAT system consisting of a smart pill dispenser ... -
Examen final (Curs 2013-2014)
(Universitat Politècnica de Catalunya, 2014-06-19)
Exam
Restricted access to the UPC academic community -
Examen final (Curs 2014-2015)
(Universitat Politècnica de Catalunya, 2015-06-08)
Exam
Restricted access to the UPC academic community -
Examen final (Curs 2015-2016)
(Universitat Politècnica de Catalunya, 2016-06-17)
Exam
Restricted access to the UPC academic community -
Examen parcial 1 (Curs 2011-2012)
(Universitat Politècnica de Catalunya, 2012-03-28)
Exam
Restricted access to the UPC academic community -
Examen parcial 1 (Curs 2013-2014)
(Universitat Politècnica de Catalunya, 2014-04-07)
Exam
Restricted access to the UPC academic community -
Examen parcial 1 (Curs 2014-2015)
(Universitat Politècnica de Catalunya, 2015-04-07)
Exam
Restricted access to the UPC academic community
