The UT Austin Villa 2003 simulated online soccer coach was a first time entry in the RoboCup Coach Competition. In developing the coach, the main research focus was placed on treating advice-giving as a machine learning problem. Competing against a field of mostly hand-coded coaches, the UT Austin Villa coach earned first place in the competition. In this paper, we present the multi-faceted learning strategy that our coach used and examine which aspects contributed most to the coach's success.
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机译：UT Austin Villa 2003年模拟在线足球教练是Robocup教练竞赛的第一次进入。在制定教练时，主要的研究重点是作为机器学习问题的咨询给予咨询。竞争大多数手工编码教练的领域，UT Austin Villa教练在比赛中获得了第一名。在本文中，我们提出了我们的教练使用的多方面学习策略，并检查了教练的成功最大的贡献的哪些方面。
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