Borja Fernández Gauna-rekin lankidetzan egindako argitalpenak (31)

2024

  1. Simion Zoo: A training workbench for reinforcement learning allowing distributed experimentation

    Neurocomputing, Vol. 568

2023

  1. Automatic feedback and assessment of team‑coding assignments in a DevOps context

    International Journal of Educational Technology in Higher Education, Núm. 20

2022

  1. Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization

    Information Sciences, Vol. 591, pp. 365-380

2019

  1. Reinforcement Learning Experiments Running Efficiently over Widly Heterogeneous Computer Farms

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

  2. Reinforcement Learning Experiments Running Efficiently over Widly Heterogeneous Computer Farms

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

2018

  1. Experiments of conditioned reinforcement learning in continuous space control tasks

    Neurocomputing, Vol. 271, pp. 38-47

2017

  1. Variable speed wind turbine controller adaptation by reinforcement learning

    Integrated Computer-Aided Engineering, Vol. 24, Núm. 1, pp. 27-39

2015

  1. Learning multirobot hose transportation and deployment by distributed round-robin Q-learning

    PLoS ONE, Vol. 10, Núm. 7

  2. Multi-agent reinforcement learning for control systems: Challenges and proposals

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

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

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

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

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

2014

  1. Effect of initial conditioning of reinforcement learning agents on feedback control tasks over continuous state and action spaces

    Advances in Intelligent Systems and Computing

  2. Empirical study of the sensitivity of CACLA to sub-optimal parameter setting in learning feedback controllers

    Advances in Intelligent Systems and Computing

  3. Recipe tuning by reinforcement learning in the SandS ecosystem

    2014 6th International Conference on Computational Aspects of Social Networks, CASoN 2014

  4. Reinforcement learning of ball screw feed drive controllers

    Engineering Applications of Artificial Intelligence, Vol. 30, pp. 107-117

2013

  1. An empirical study of actor-critic methods for feedback controllers of ball-screw drivers

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

  2. 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

  3. 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

  4. Undesired state-action prediction in multi-agent reinforcement learning for linked multi-component robotic system control

    Information Sciences, Vol. 232, pp. 309-324

  5. Visual detection in linked multi-component robotic systems

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