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IFE
2007
77views more  IFE 2007»
13 years 7 months ago
Drawing Subway Maps: A Survey
Abstract This paper deals with automating the drawing of subway maps. There are two features of schematic subway maps that make them different from drawings of other networks such...
Alexander Wolff
AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
LOGCOM
1998
178views more  LOGCOM 1998»
13 years 7 months ago
Applying the Mu-Calculus in Planning and Reasoning about Action
Planning algorithms have traditionally been geared toward achievement goals in single-agent environments. Such algorithms essentially produce plans to reach one of a specified se...
Munindar P. Singh
MP
2002
195views more  MP 2002»
13 years 7 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
ORL
1998
68views more  ORL 1998»
13 years 7 months ago
A fast bipartite network flow algorithm for selective assembly
Bipartite network flow problems naturally arise in applications such as selective assembly and preemptive scheduling. This paper presents fast algorithms for these problems that ...
Satoru Iwata, Tomomi Matsui, S. Thomas McCormick