Publicaciones en las que colabora con JOSE MANUEL LOPEZ GUEDE (21)

2015

  1. A L-MCRS dynamics approximation by ELM for Reinforcement Learning

    Neurocomputing, Vol. 150, Núm. Part A, pp. 116-123

  2. Reinforcement Learning endowed with safe veto policies to learn the control of Linked-Multicomponent Robotic Systems

    Information Sciences, Vol. 317, pp. 25-47

  3. Training Multiagent Systems by Q-Learning: Approaches and Empirical Results

    Computational Intelligence, Vol. 31, Núm. 3, pp. 498-512

2013

  1. State-action value function modeled by ELM in reinforcement learning for hose control problems

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 21, Núm. SUPPL.2, pp. 99-116

  2. Transfer learning with Partially Constrained Models: Application to reinforcement learning of linked multicomponent robot system control

    Robotics and Autonomous Systems, Vol. 61, Núm. 7, pp. 694-703

  3. Visual detection in linked multi-component robotic systems

    Robotics: Concepts, Methodologies, Tools, and Applications (IGI Global), pp. 1516-1532

2012

  1. Effect of the lambda parameter in dynamic matrix controllers performance

    Journal of Computer and Information Technology, Vol. 2

  2. Improving the control of single robot hose transport

    Cybernetics and Systems, Vol. 43, Núm. 4, pp. 261-275

  3. Lattice independent component analysis for appearance-based mobile robot localization

    Neural Computing and Applications, Vol. 21, Núm. 5, pp. 1031-1042

  4. Towards a real time simulation of linked multi-component robotic systems

    Frontiers in Artificial Intelligence and Applications, Vol. 243, pp. 2019-2027

  5. Visual detection in linked multi-component robotic systems

    Robotic Vision: Technologies for Machine Learning and Vision Applications (IGI Global), pp. 78-97

  6. Visual servoing of legged robots

    Journal of Mathematical Imaging and Vision, Vol. 42, Núm. 2-3, pp. 196-211

2011

  1. Basic results and experiments on robotic multi-agent system for hose deployment and transportation

    International Journal of Artificial Intelligence, Vol. 6, Núm. 11 S, pp. 183-202

  2. Concurrent modular Q-learning with local rewards on linked multi-component robotic systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Concurrent modular Q-learning with local rewards on linked multi-component robotic systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Cooperative Multi-Agent Reinforcement Learning for Multi-Component Robotic Systems: Guidelines for future research

    Paladyn, Vol. 2, Núm. 2, pp. 71-81

  5. Empirical study of Q-learning based elemental hose transport control

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Towards concurrent Q-learning on linked multi-component robotic systems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010

  1. Learning hose transport control with q-learning

    Neural Network World, Vol. 20, Núm. 7, pp. 913-923

  2. Linked multicomponent robotic systems: Basic assessment of linking element dynamical effect

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)