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ALT
2008
Springer
16 years 3 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
COLT
1999
Springer
15 years 11 months ago
Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Robert E. Schapire
ATAL
2006
Springer
15 years 10 months ago
A novel method for automatic strategy acquisition in N-player non-zero-sum games
We present a novel method for automatically acquiring strategies for the double auction by combining evolutionary optimization together with a principled game-theoretic analysis. ...
Steve Phelps, Marek Marcinkiewicz, Simon Parsons
CIG
2006
IEEE
15 years 8 months ago
Improving Artificial Intelligence In a Motocross Game
We have previously investigated the use of artificial neural networks to ride simulated motorbikes in a new computer game. These artificial neural networks were trained using two d...
Benoit Chaperot, Colin Fyfe
LICS
2009
IEEE
16 years 1 months ago
Winning Concurrent Reachability Games Requires Doubly-Exponential Patience
—We exhibit a deterministic concurrent reachability game PURGATORYn with n non-terminal positions and a binary choice for both players in every position so that any positional st...
Kristoffer Arnsfelt Hansen, Michal Koucký, ...