Keepaway Soccer: From Machine Learning Testbed to Benchmark

  title={Keepaway Soccer: From Machine Learning Testbed to Benchmark},
  author={Peter Stone and Gregory Kuhlmann and Matthew E. Taylor and Yaxin Liu},
Keepaway soccer has been previously put forth as a testbed for machine learning. Although multiple researchers have used it successfully for machine learning experiments, doing so has required a good deal of domain expertise. This paper introduces a set of programs, tools, and resources designed to make the domain easily usable for experimentation without any prior knowledge of RoboCup or the Soccer Server. In addition, we report on new experiments in the Keepaway domain, along with performance… CONTINUE READING
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