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» Approximation algorithms for the 0-extension problem
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AAAI
2007
15 years 4 days ago
Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
In timed, zero-sum games, the goal is to maximize the probability of winning, which is not necessarily the same as maximizing our expected reward. We consider cumulative intermedi...
Colin McMillen, Manuela M. Veloso
ATAL
2008
Springer
14 years 11 months ago
Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...
Thomas Gabel, Martin A. Riedmiller
WSCG
2003
177views more  WSCG 2003»
14 years 11 months ago
Efficient NURBS Rendering using View-Dependent LOD and Normal Maps
Rendering large trimmed NURBS models with high quality at interactive frame rates is of great interest for industry, since nearly all their models are designed on the basis of thi...
Michael Guthe, Reinhard Klein
COLING
1996
14 years 11 months ago
Learning Dependencies between Case Frame Slots
We address the problem of automatically acquiring case frame patterns (selectional patterns) from large corpus data. In particular, we l)ropose a method of learning dependencies b...
Hang Li, Naoki Abe
TCS
2008
14 years 9 months ago
Scheduling to maximize participation
We study a problem of scheduling client requests to servers. Each client has a particular latency requirement at each server and may choose either to be assigned to some server in ...
Ioannis Caragiannis, Christos Kaklamanis, Panagiot...