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Emergence of Behaviors by Reinforcement Learning Based on the Desire for Existence

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Brain-Inspired Information Technology

Part of the book series: Studies in Computational Intelligence ((SCI,volume 266))

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Abstract

We propose to introduce the desire for existence into reinforcement learning as intrinsic motivation for developing robots with emerging behaviors. A pursuit-evasion game composed of predators and their prey is selected as a testbed. To demonstrate the effectiveness of using the desire for existence, simulation experiments and experiments using mobile robots, WITH, on the robotic field are carried out.

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References

  1. Yamamoto, N., Ishikawa, M.: Curiosity and boredom based on prediction error as novel internal rewards. Brain Inspired IT 2007, 43 (2007)

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  2. Kiriake, F., Ishikawa, M.: Classfication and novelty detection of omni-view images taken from a mobile robot. Brain Inspired IT 2007, 42 (2007)

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Hagiwara, T., Ishikawa, M. (2010). Emergence of Behaviors by Reinforcement Learning Based on the Desire for Existence. In: Hanazawa, A., Miki, T., Horio, K. (eds) Brain-Inspired Information Technology. Studies in Computational Intelligence, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04025-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-04025-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04024-5

  • Online ISBN: 978-3-642-04025-2

  • eBook Packages: EngineeringEngineering (R0)

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