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ICML
2010
IEEE
13 years 3 months ago
Fast boosting using adversarial bandits
Róbert Busa-Fekete, Balázs Ké...
JOC
2010
123views more  JOC 2010»
13 years 4 days 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
13 years 6 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»
13 years 5 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
13 years 7 months 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