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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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
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