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Kyriacou, T; Iglesias, R; Rodriguez, M; Quintia, P
Languages: English
Types: Unknown
Subjects: QA75
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] U. Nehmzow, R. Iglesias, T. Kyriacou, S. Billings, Robot learning through task identification, International Journal on Robotics and Autonomous Systems 54 (2006) 766-778.
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    • [5] G. A. Carpenter, S. Grossberg, D. B. Rosen, Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system, Neural Netw. 4 (1991) 759-771.
    • [6] M. A. Bozarth, Pleasure: The politics and the reality, Springer Netherlands, 1994, pp. 5-14.
    • [7] R. S. Sutton, A. G. Barto, Reinforcement learning: An introduction, MIT Press, 1998.
    • [8] P. Quintia, R. Iglesias, M. Rodriguez,C. V. Regueiro, Fast Robot Learning through an Ensemble of Predictors Able to Forecast the Time Interval Before Failure, in: In Proceedings of Towards Autonomous Robotic Systems, TAROS 2009.
    • [9] M. Rodriguez, R. Iglesias, P. Quintia,C. V. Regueiro, Parallel robot learning through an ensemble of predictors able to forecast the time interval before a robot failure, in: In Proceedings of XI Workshop of Physical Agents, WAF 2010.
    • [10] B. P. Gerkey, R. T. Vaughan, A. Howard, The Player/Stage project: Tools for multi-robot and distributed sensor systems, in: In Proceedings of the 11th International Conference on Advanced Robotics, 2003, pp. 317-323.
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