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Virtual Table Tennis and the Design of Neural Network Players

  • D. d’Aulignac
  • A. Moschovinos
  • S. Lucas

Abstract

This paper discusses the design of a virtual table-tennis environment, and the design of neural network based controllers to play in that environment. The motivation behind the work is to provide an interesting and entertaining forum in which to carry out research on adaptive control and planning problems that stretch the limits of current neural network paradigms.

Keywords

Neural Network Real Robot Robot Controller Modular Neural Network Virtual Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    D. Fogel. Using evolutionary programming to create networks that are capable of playing tic-tac-toe. In Proceedings of IEEE International Conference on Neural Networks, pages 875–880, San Francisco, 1993. IEEE.Google Scholar
  2. [2]
    F. Gruau, D. Whitley, and L. Pyeatt. A comparison between cellular encoding and direct encoding for genetic neural networks. Technical Report NeuroColt series NC-TR-96-048, 1996.Google Scholar
  3. [3]
    A. Wieland. Evolving controls for unstable systems. In Proceedings of the 1990 Connectionist Models Summer School, pages 91–102, San Francisco, 1990. Morgan Kaufman. (D. Touretzky, J. Elman, T. Sejnowski, and G. Hinton, eds.).Google Scholar

Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • D. d’Aulignac
    • 1
  • A. Moschovinos
    • 1
  • S. Lucas
    • 1
  1. 1.Department of Electronic Systems EngineeringUniversity of EssexColchesterUK

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