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ICML
2005
IEEE
16 years 22 days ago
Hedged learning: regret-minimization with learning experts
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
Yu-Han Chang, Leslie Pack Kaelbling
AUSAI
2004
Springer
15 years 5 months ago
An Extension of the H-Search Algorithm for Artificial Hex Players
Hex is a classic board game invented in the middle of the twentieth century by Piet Hein and rediscovered later by John Nash. The best Hex artificial players analyse the board posi...
Rune Rasmussen, Frédéric Maire
IEICET
2006
79views more  IEICET 2006»
14 years 12 months ago
Synthesis of Nonautonomous Systems with Specified Limit Cycles
Abstract--This paper deals with a synthesis of a nonautonomous system with a stable limit cycle. By extending Green's method, by which arbitrary periodic solutions can be desi...
Atsuko Ohno, Toshimitsu Ushio, Masakazu Adachi
ATAL
2009
Springer
15 years 6 months ago
Constraint-based dynamic programming for decentralized POMDPs with structured interactions
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...
Akshat Kumar, Shlomo Zilberstein
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 4 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...