162 search results - page 13 / 33 » Topological Value Iteration Algorithm for Markov Decision Pr... |
107
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ISAAC
2010
Springer
14 years 7 months ago
2010
Springer
Howard's policy iteration algorithm is one of the most widely used algorithms for finding optimal policies for controlling Markov Decision Processes (MDPs). When applied to we...
115
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UAI
2000
14 years 11 months ago
2000
We consider the problem belief-state monitoring for the purposes of implementing a policy for a partially-observable Markov decision process (POMDP), specifically how one might ap...
DATE
2008
IEEE
15 years 4 months ago
2008
IEEE
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
SIGMETRICS
2000
ACM
15 years 2 months ago
2000
ACM
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
115
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ICML
1999
IEEE
15 years 10 months ago
1999
IEEE
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...