RoboCupSimData: A RoboCup soccer research dataset

Michael, Olivia, Obst, Oliver, Schmidsberger, Falk, Stolzenburg, Frieder

arXiv.org Artificial Intelligence 

In RoboCup, several To assist automated learning of team behavior, we provide a large dataset generated using 10different leagues exist to emphasize specific research problems by using different kinds of the top participants in RoboCup 2016 or 2017. of robots and rules. There are different soccer While it is possible to use the simulator for robot leagues in the RoboCup with different types and learning, we also generate additional data that is sizes of hardware and software: small size, middle not normally available from playing other teams size, standard platform league, humanoid, 2D directly: We modified the simulator to record and 3D simulation (Kitano et al., 1997). In the data from each robots local perspective, that is, soccer simulation leagues (Akiyama et al., 2015), with the restricted views that depend on each the emphasis is on multi-robot team work with robots situation and actions, and also include partial and noisy information, in real-time.

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