A Scene-Based Imitation Framework for RoboCup Clients

Kevin Lam, Babak Esfandiari, David Tudino

We describe an effort to train a RoboCup soccer-playing agent playing in the Simulation League by capturing data from existing players, and using it in a real-time scene recognition system. When observing a simple rule-based, stateless agent, the trained player appears to imitate the behaviour of the original. Apart from some parameter selections, the process requires little human intervention.

Subjects: 7.2 Software Agents; 3.1 Case-Based Reasoning

Submitted: May 17, 2006


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