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ORCIDJosé Antonio Martín H.
Publications
- 2011
[j10]José Antonio Martín H.
, Javier de Lope Asiaín, Darío Maravall:
Robust high performance reinforcement learning through weighted k-nearest neighbors. Neurocomputing 74(8): 1251-1259 (2011)- 2010
- [j8]José Antonio Martín H., Matilde Santos Peñas, Javier de Lope Asiaín:
Orthogonal variant moments features in image analysis. Inf. Sci. 180(6): 846-860 (2010) - [j7]José Antonio Martín H., Matilde Santos Peñas, Javier de Lope Asiaín:
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., Javier de Lope Asiaín, Darío Maravall:
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) - 2009
- [j5]Darío Maravall, Javier de Lope Asiaín, José Antonio Martín H.:
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, Matilde Santos Peñas:
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, Darío Maravall:
Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature. Nat. Comput. 8(4): 757-775 (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., Javier de Lope Asiaín, Darío Maravall:
The kNN-TD Reinforcement Learning Algorithm. IWINAC (1) 2009: 305-314 - [c11]José Antonio Martín H., Javier de Lope Asiaín, Darío Maravall:
Learning to Coordinate Multi-robot Competitive Systems by Stimuli Adaptation. IWINAC (2) 2009: 362-371 - 2008
- [c10]Yolanda Sanz, Javier de Lope Asiaín, José Antonio Martín H.:
Applying Reinforcement Learning to Multi-robot Team Coordination. HAIS 2008: 625-632 - [p2]José Antonio Martín H., Matilde Santos Peñas, Andrés García, Javier de Lope Asiaín:
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, Matilde Santos Peñas:
Evolution of Neuro-controllers for Multi-link Robots. Innovations in Hybrid Intelligent Systems 2008: 175-182 - 2007
- [c9]José Antonio Martín H., Javier de Lope Asiaín:
A k-NN Based Perception Scheme for Reinforcement Learning. EUROCAST 2007: 138-145 - [c8]Javier de Lope Asiaín, Juan José San Martín, José Antonio Martín H.:
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
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