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By Yasutake Takahashi and Minoru Asada


There has been a great deal of research on reinforcement learning in multirobot/agent environments during last decades1. A wide range of applications, such as forage robots (Mataric, 1997), soccer playing robots (Asada et al., 1996), prey-pursuing robots (Fujii et al., 1998) and so on, have been investigated. However, a straightforward application of th

Year: 2011
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