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ICML
2010
IEEE
14 years 8 months ago
Fast boosting using adversarial bandits
Róbert Busa-Fekete, Balázs Ké...
JOC
2010
123views more  JOC 2010»
14 years 5 months ago
Security Against Covert Adversaries: Efficient Protocols for Realistic Adversaries
Abstract. In the setting of secure multiparty computation, a set of mutually distrustful parties wish to securely compute some joint function of their private inputs. The computati...
Yonatan Aumann, Yehuda Lindell
IJCAI
2003
14 years 11 months ago
Simultaneous Adversarial Multi-Robot Learning
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
Michael H. Bowling, Manuela M. Veloso
IJMMS
1998
74views more  IJMMS 1998»
14 years 10 months ago
Towards collaborative and adversarial learning: a case study in robotic soccer
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 th...
Peter Stone, Manuela M. Veloso
COLT
2008
Springer
15 years 6 days ago
Learning in the Limit with Adversarial Disturbances
We study distribution-dependent, data-dependent, learning in the limit with adversarial disturbance. We consider an optimization-based approach to learning binary classifiers from...
Constantine Caramanis, Shie Mannor