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Teamwork Formation for Keepaway in Robotics Soccer (Reinforcement Learning Approach)

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Agent Computing and Multi-Agent Systems (PRIMA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4088))

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Abstract

In this paper, we discuss guidelines for a reward design problem that defines when and what amount of reward should be given to the agents, within the context of reinforcement learning approach. We take keepaway soccer as a standard task of multiagent domain which requires skilled teamwork. The difficulties of designing reward for good teamwork are due to its features as follows: i) since it is a continuing task which has no explicit goal, it is hard to tell when reward should be given to the agents, ii) since it is a multiagent cooperative task, it is hard to make a fair share of the reward for each agent’s contribution. Through some experiments, we show that reward design have a major effect on the agent’s behavior, and introduce the reward function that makes agents perform keepaway successfully.

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References

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© 2006 Springer-Verlag Berlin Heidelberg

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Tanaka, N., Arai, S. (2006). Teamwork Formation for Keepaway in Robotics Soccer (Reinforcement Learning Approach). In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372_28

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  • DOI: https://doi.org/10.1007/11802372_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36707-9

  • Online ISBN: 978-3-540-36860-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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