Beating a defender in robotic soccer:
Memory-based learning of a continuous function (1995, 8 pages)Peter Stone and Manuela Veloso
Compressed postscript. Also available as web pages. Deciding whether to pass or shoot in simulated soccer.
Grad student Peter Stone at Carnegie-Mellon University fell under the influence of Dynamo and co-authored several papers with his advisor Manuela Veloso.
| Jay : game learning : soccer : Peter Stone |
Beating a defender in robotic soccer:
Memory-based learning of a continuous function (1995, 8 pages)
Peter Stone and Manuela Veloso
Compressed postscript. Also available
as web pages.
Deciding whether to pass or shoot in simulated soccer.
Broad learning from narrow training:
A case study from robotic soccer (1995, 8 pages)
Peter Stone and Manuela Veloso
Compressed postscript. Also available
as web pages.
A neural net successfully generalized in a
simulated soccer shooting task.
Towards collaborative and adversarial learning: A case study in robotic soccer
(1996, 5 pages)
Peter Stone and Manuela Veloso
Compressed postscript. Also available
as web pages.
Robot players must cooperate with teammates and compete with opponents.
Using testing to iteratively improve training (1995, 2 pages)
Peter Stone and Manuela Veloso
Compressed postscript. A simple framework for exploration in instance space,
using soccer as an example.