Towards collaborative and adversarial learning: a case study in robotic soccer

@article{Stone1998TowardsCA,
  title={Towards collaborative and adversarial learning: a case study in robotic soccer},
  author={Peter Stone and Manuela M. Veloso},
  journal={Int. J. Hum.-Comput. Stud.},
  year={1998},
  volume={48},
  pages={83-104}
}
Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to the behaviors of different opponents. We are using a robotic soccer system to study these different types of multiagent learning: low-level skills, collaborative, and adversarial. Here we describe in detail our experimental framework. We present a learned, robust, low-level behavior that is necessitated by the multiagent… CONTINUE READING