Teaching a Virtual Robot to Perform Tasks by Learning from Observation

Author:

Tîrnăucă Cristina,Montaña José L.,Ortiz–Sobremazas Carlos,Ontañón Santiago,González Avelino J.

Publisher

Springer International Publishing

Reference16 articles.

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2. Berthold, M.R., Diamond, J.: Constructive training of probabilistic neural networks. Neurocomputing 19(1–3), 167–183 (1998). http://dx.doi.org/10.1016/S0925-2312(97)00063–5

3. Fernlund, H.K.G., Gonzalez, A.J., Georgiopoulos, M., DeMara, R.F.: Learning tactical human behavior through observation of human performance. IEEE Trans. Syst. Man Cybern. B 36(1), 128–140 (2006). http://doi.ieeecomputersociety.org/10.1109/TSMCB.2005.855568

4. Floyd, M.W., Esfandiari, B., Lam, K.: A case-based reasoning approach to imitating robocup players. In: Wilson, D., Lane, H.C. (eds.) Proceedings of the 21st International Florida Artificial Intelligence Research Society Conference, Coconut Grove, Florida, USA, pp. 251–256. AAAI Press, 15–17 May 2008. http://www.aaai.org/Library/FLAIRS/2008/flairs08-064.php

5. Gonzalez, A.J., Georgiopoulos, M., DeMara, R.F., Henninger, A., Gerber, W.: Automating the CGF model development and refinement process by observing expert behavior in a simulation. In: Proceedings of the 7th Conference on Computer Generated Forces and Behavioral Representation, May 12–14, 1998, Orlando, Florida, USA (1998)

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