7311 search results - page 390 / 1463 » Time in State Machines |
213
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ICTAI
2000
IEEE
15 years 11 months ago
2000
IEEE
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
169
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ACMACE
2008
ACM
15 years 9 months ago
2008
ACM
In this paper, we present a new entertainment adaptive framework AIRSF for stress free air travels. Based on the passenger's current and target comfort states, user entertain...
208
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UAI
1998
15 years 9 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
157
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SIPEW
2009
Springer
16 years 2 months ago
2009
Springer
The M/G/1 queue is a classical model used to represent a large number of real-life computer and networking applications. In this note, we show that, for coefficients of variation o...
206
Voted
ICANNGA
2007
Springer
16 years 1 months ago
2007
Springer
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...