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ICML
2003
IEEE
16 years 6 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm
CORR
2006
Springer
172views Education» more  CORR 2006»
15 years 6 months ago
Approximate Convex Optimization by Online Game Playing
This paper describes a general framework for converting online game playing algorithms into constrained convex optimization algorithms. This framework allows us to convert the wel...
Elad Hazan
CODES
2009
IEEE
16 years 22 days ago
FRA: a flash-aware redundancy array of flash storage devices
Since flash memory has many attractive characteristics such as high performance, non-volatility, low power consumption and shock resistance, it has been widely used as storage med...
Yangsup Lee, Sanghyuk Jung, Yong Ho Song
FOCS
2008
IEEE
16 years 13 days ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
ML
1998
ACM
15 years 5 months ago
On Restricted-Focus-of-Attention Learnability of Boolean Functions
In the k-Restricted-Focus-of-Attention (k-RFA) model, only k of the n attributes of each example are revealed to the learner, although the set of visible attributes in each example...
Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jac...