A scene-based imitation framework for RoboCup clients
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. Copyright
|Conference||2006 AAAI Workshop|
Lam, K. (Kevin), Esfandiari, B, & Tudino, D. (David). (2006). A scene-based imitation framework for RoboCup clients. Presented at the 2006 AAAI Workshop.