| Dyna-H: A heuristic planning reinforcement learning algorithm applied to role-playing game strategy decision systems JA Martin H., M Santos, V López, G Botella Knowledge-Based Systems 32, 28-36, 2012 | 70 | 2012 |
| Adaptation, anticipation and rationality in natural and artificial systems: computational paradigms mimicking nature JA Martin H., J de Lope, D Maravall Natural Computing 8 (4), 757, 2009 | 60 | 2009 |
| Orthogonal variant moments features in image analysis JA Martin H., M Santos, J de Lope Information Sciences 180 (6), 846-860, 2010 | 50 | 2010 |
| Robust high performance reinforcement learning through weighted k-nearest neighbors JA Martin H., J de Lope, D Maravall Neurocomputing 74 (8), 1251-1259, 2011 | 46 | 2011 |
| A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers JA Martín H, J de Lope, M Santos Neurocomputing 72 (13), 2806-2814, 2009 | 39 | 2009 |
| FPGA-based multimodal embedded sensor system integrating low-and mid-level vision G Botella, JA Martín H, M Santos, U Meyer-Baese Sensors 11 (8), 8164-8179, 2011 | 35 | 2011 |
| Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots D Maravall, J de Lope, JA Martín H Neurocomputing 72 (4-6), 887-894, 2009 | 33* | 2009 |
| The knn-td reinforcement learning algorithm JA Martin H., J de Lope, D Maravall International Work-Conference on the Interplay Between Natural and …, 2009 | 31 | 2009 |
| Search and retrieval of plasma wave forms: Structural pattern recognition approach S Dormido-Canto, G Farias, J Vega, R Dormido, J Sánchez, N Duro, ... Review of scientific instruments 77 (10), 2006 | 28 | 2006 |
| A distributed reinforcement learning architecture for multi-link robots JA Martin H, J De Lope 4th International Conference on Informatics in Control, Automation and …, 2007 | 26* | 2007 |
| Learning autonomous helicopter flight with evolutionary reinforcement learning JA Martin H., J de Lope International Conference on Computer Aided Systems Theory, 75-82, 2009 | 23 | 2009 |
| Ex〈 α〉: An effective algorithm for continuous actions Reinforcement Learning problems JA Martin H, J de Lope Industrial Electronics, 2009. IECON'09. 35th Annual Conference of IEEE, 2063 …, 2009 | 22* | 2009 |
| Analysis and solution of a predator–protector–prey multi-robot system by a high-level reinforcement learning architecture and the adaptive systems theory JA Martin H., J de Lope, D Maravall Robotics and Autonomous Systems 58 (12), 1266-1272, 2010 | 10 | 2010 |
| A divisive hierarchical k-means based algorithm for image segmentation JA Martin H, J Montero, J Yáñez, D Gomez Intelligent Systems and Knowledge Engineering (ISKE), 2010 International …, 2010 | 9* | 2010 |
| Evolution of Neuro-controllers for Multi-link Robots JA Martín H, J de Lope, M Santos Innovations in Hybrid Intelligent Systems, 175-182, 2007 | 9 | 2007 |
| Solving Hard Computational Problems Efficiently: Asymptotic Parametric Complexity 3-Coloring Algorithm JA Martın H PLoS ONE 8 (1), e53437, 2013 | 8 | 2013 |
| Modelo computacional para la formación de clases de equivalencia AG García, JA Martín H., MTG Domínguez International Journal of Psychology and Psychological Therapy 10 (1), 163-176, 2010 | 8 | 2010 |
| Applying reinforcement learning to multi-robot team coordination Y Sanz, J de Lope, JA Martin H. International Workshop on Hybrid Artificial Intelligence Systems, 625-632, 2008 | 8 | 2008 |
| Linear Bayes policy for learning in contextual-bandits JA Martín H., AM Vargas Expert Systems with Applications 40 (18), 7400–7406, 2013 | 7 | 2013 |
| Dynamic clustering and modeling approaches for fusion plasma signals JA Martin H, MS Penas, G Farias, N Duro, J Sanchez, R Dormido, ... Instrumentation and Measurement, IEEE Transactions on 58 (9), 2969-2978, 2009 | 7* | 2009 |
Javier de LopeDepartment of Artificial Intelligence, UPMDirección de correo verificada de upm.es
