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CIA
2006
Springer
13 years 11 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
AAAI
2007
13 years 10 months ago
RETALIATE: Learning Winning Policies in First-Person Shooter Games
In this paper we present RETALIATE, an online reinforcement learning algorithm for developing winning policies in team firstperson shooter games. RETALIATE has three crucial chara...
Megan Smith, Stephen Lee-Urban, Hector Muño...
IJISEC
2008
92views more  IJISEC 2008»
13 years 8 months ago
A coding approach to the multicast stream authentication problem
We study the multicast stream authentication problem when an opponent can drop, reorder and introduce data packets into the communication channel. In such a model, packet overhead...
Christophe Tartary, Huaxiong Wang, Josef Pieprzyk
FPCA
1995
13 years 11 months ago
Pi-Calculus, Dialogue Games and PCF
Game semantics is an unusual denotational semantics in that it captures the intensional (or algorithmic) and dynamical aspects of the computation. This makes it an ideal semantica...
J. M. E. Hyland, C.-H. Luke Ong
IJCNN
2008
IEEE
14 years 2 months ago
On the learning of nonlinear visual features from natural images by optimizing response energies
— The operation of V1 simple cells in primates has been traditionally modelled with linear models resembling Gabor filters, whereas the functionality of subsequent visual cortic...
Jussi T. Lindgren, Aapo Hyvärinen