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José Antonio Martín H.
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2020 – today
- 2022
- [i5]Jose Antonio Martin H., Oscar Fernández Vicente, Sergio Pérez, Anas Belfadil, Cristina Ibáñez-Llano, Freddy Jose Perozo Rondon, Jose Javier Valle, Javier Arechalde Pelaz:
Reinforcement Learning in System Identification. CoRR abs/2212.07123 (2022)
2010 – 2019
- 2013
- [j12]José Antonio Martín H.
, Ana M. Vargas
Linear Bayes policy for learning in contextual-bandits. Expert Syst. Appl. 40(18): 7400-7406 (2013) - 2012
- [j11]Matilde Santos
Dyna-H: A heuristic planning reinforcement learning algorithm applied to role-playing game strategy decision systems. Knowl. Based Syst. 32: 28-36 (2012) - 2011
- [j10]José Antonio Martín H.
Robust high performance reinforcement learning through weighted k-nearest neighbors. Neurocomputing 74(8): 1251-1259 (2011) - [j9]Guillermo Botella
FPGA-Based Multimodal Embedded Sensor System Integrating Low- and Mid-Level Vision. Sensors 11(8): 8164-8179 (2011) - [i4]Matilde Santos, José Antonio Martín H., Victoria López:
Dyna-H: a heuristic planning reinforcement learning algorithm applied to role-playing-game strategy decision systems. CoRR abs/1101.4003 (2011) - [i3]Jose Antonio Martin H.:
A polynomial 3-colorability algorithm with automatic generation of NO 3-colorability (i.e. Co-NP) short proofs. CoRR abs/1101.6038 (2011) - [i2]José Antonio Martín H.:
Minimal non-extensible precolorings and implicit-relations. CoRR abs/1104.0510 (2011) - [i1]José Antonio Martín H.:
A parametric-complexity exact 3-(UN)COLORING Algorithm. CoRR abs/1108.5405 (2011) - 2010
- [j8]José Antonio Martín H., Matilde Santos Peñas
Orthogonal variant moments features in image analysis. Inf. Sci. 180(6): 846-860 (2010) - [j7]José Antonio Martín H., Matilde Santos Peñas
Erratum to 'Orthogonal variant moments features in image analysis' [Information Sciences 180 (2010) 846-860]. Inf. Sci. 180(12): 2498 (2010) - [j6]José Antonio Martín H.
Analysis and solution of a predator-protector-prey multi-robot system by a high-level reinforcement learning architecture and the adaptive systems theory. Robotics Auton. Syst. 58(12): 1266-1272 (2010)
2000 – 2009
- 2009
- [j5]Darío Maravall, Javier de Lope Asiaín
Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots. Neurocomputing 72(4-6): 887-894 (2009) - [j4]José Antonio Martín H., Javier de Lope Asiaín
A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers. Neurocomputing 72(13-15): 2806-2814 (2009) - [j3]José Antonio Martín H., Javier de Lope Asiaín
A model for the dynamic coordination of multiple competing goals. J. Exp. Theor. Artif. Intell. 21(2): 123-136 (2009) - [j2]José Antonio Martín H., Javier de Lope Asiaín
Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature. Nat. Comput. 8(4): 757-775 (2009) - [j1]José Antonio Martín H., Matilde Santos Peñas
Dynamic Clustering and Modeling Approaches for Fusion Plasma Signals. IEEE Trans. Instrum. Meas. 58(9): 2969-2978 (2009) - [c13]José Antonio Martín H., Javier de Lope Asiaín
Learning Autonomous Helicopter Flight with Evolutionary Reinforcement Learning. EUROCAST 2009: 75-82 - [c12]José Antonio Martín H.
The kNN-TD Reinforcement Learning Algorithm. IWINAC (1) 2009: 305-314 - [c11]José Antonio Martín H.
Learning to Coordinate Multi-robot Competitive Systems by Stimuli Adaptation. IWINAC (2) 2009: 362-371 - 2008
- [c10]Yolanda Sanz
Applying Reinforcement Learning to Multi-robot Team Coordination. HAIS 2008: 625-632 - [p2]José Antonio Martín H., Matilde Santos Peñas
A Computational Model of the Equivalence Class Formation Psychological Phenomenon. Innovations in Hybrid Intelligent Systems 2008: 104-111 - [p1]José Antonio Martín H., Javier de Lope Asiaín
Evolution of Neuro-controllers for Multi-link Robots. Innovations in Hybrid Intelligent Systems 2008: 175-182 - 2007
- [c9]José Antonio Martín H.
A k-NN Based Perception Scheme for Reinforcement Learning. EUROCAST 2007: 138-145 - [c8]Javier de Lope Asiaín
Helicopter Flight Dynamics Using Soft Computing Models. EUROCAST 2007: 621-628 - [c7]José Antonio Martín H., Javier de Lope Asiaín:
A distributed reinforcement learning control architecture for multi-link robots - experimental validation. ICINCO-ICSO 2007: 192-197 - [c6]José Antonio Martín H., Javier de Lope Asiaín
Concepts and Models for the Future Generation of Emotional and Intelligent Systems. IWINAC (1) 2007: 41-50 - [c5]Darío Maravall, Javier de Lope Asiaín, José Antonio Martín H.
Combining the Best of the Two Worlds: Inheritance Versus Experience. IWINAC (2) 2007: 337-346 - 2006
- [c4]José Antonio Martín H., Javier de Lope Asiaín:
Dynamic goal coordination in physical agents. ICINCO-ICSO 2006: 154-159 - 2005
- [c3]José Antonio Martín H., Teresa de Pedro, Carlos González, Ricardo García Rosa, Luís Argüelles, Jose Rivas, Javier Toraño:
Fuzzy Modeling for Coal Seams A Case Study for a Hard-Coal Mine. EUROCAST 2005: 33-37 - [c2]José Antonio Martín H., Teresa de Pedro, Ricardo García Rosa, Carlos González:
A fuzzy expression processor with modifiers and hedges, conceptual design and tests. EUSFLAT Conf. 2005: 357-362 - [c1]José Antonio Martín H.:
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations. GECCO 2005: 1559-1560
Coauthor Index
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