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Awards

Prizes won by the IM-CleVeR Project

  • Juergen Schmidhuber (IDSIA) was recipient of the 2013 Helmholtz Award from the International Neural Network Society.
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  • The paper Leitner et al. (2012) (IDSIA) won a “Paper of excellence” award at ICDL-EprRob 2012:
    Leitner, J. and Chandrashekhariah, P. and Harding, S. and Frank, M. and Spina, G. and Forster, A. and Triesch, J. and Schmidhuber, J. (2012). Autonomous Learning Of Robust Visual Object Detection And Identification On A Humanoid”. Proceedings of the IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2012), San Diego, CA, Nov 2012.
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  • The paper Lee et al. (2012) (AU) won a “Paper of excellence” award at ICDL-EprRob 2012:
    Lee, M., Law, J., Shaw, P., Sheldon, M. (2012). An infant inspired model of reaching for a humanoid robot. Proceedings of the IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob 2012), San Diego, CA, Nov 2012.
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  • The paper Baldassarre (2011) (ISTC-CNR) got a nomination as best paper, and arrived second, at the IEEE International Conference on Development and Learning 2011:
    Baldassare, G. (2011). What Are Intrinsic Motivations? A Biological Perspective. In: Cangelosi, A.; Triesch, J.; Fasel, I.; Rohlfing, K.; Nori, F.; Oudeyer, P.-Y.; Schlesinger, M. & Nagai, Y. (eds.), Proceedings of the International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob-2011). pp. E1-8. Piscataway, NJ: IEEE.
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  • The paper Gisslen et al. (2011) got the Kurzweil Prize for Best Artificial General Intelligence Paper 2011:
    Gisslen, L., Luciw, M., Graziano, V., Schmidhuber, J. (2011). Sequential Constant Size Compressors and Reinforcement Learning, in Schmidhuber, J., Thórisson, K., Looks, M. (eds.), Artificial General Intelligence: Proceedings of the Fourth Conference on Artificial General Intelligence (AGI-11), Google, Mountain View, California, 2011.
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  • Prof. Barto's UMass research group produced a robot demonstration of a process for autonomously acquiring skills and deploying them to reduce the time required to learn other tasks. A video of this demonstration was winner of Best Student Video at AAAI 2011: