280 search results - page 10 / 56 » Planning for Markov Decision Processes with Sparse Stochasti... |
AAAI
1998
14 years 11 months ago
1998
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
LICS
2007
IEEE
15 years 4 months ago
2007
IEEE
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
STACS
2007
Springer
15 years 3 months ago
2007
Springer
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
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DAC
2000
ACM
15 years 10 months ago
2000
ACM
In this paper, we introduce a new technique for modeling and solving the dynamic power management (DPM) problem for systems with complex behavioral characteristics such as concurr...