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PERCOM
2007
ACM
16 years 5 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian
WSC
1997
15 years 7 months ago
Selecting the Best System: A Decision-Theoretic Approach
The problem of selecting the best system from a finite set of alternatives is considered from a Bayesian decision-theoretic perspective. The framework presented is quite general,...
Stephen E. Chick
ICDCSW
2000
IEEE
15 years 10 months ago
Games-Based Model Checking of Protocols: counting doesn't count
We introduce a technique that can be used to model the behaviour of protocols. In our model each process within a protocol belongs to a particular class. A set of rules governs th...
Tim Kempster, Colin Stirling, Peter Thanisch
GG
2008
Springer
15 years 7 months ago
Pattern-Based Model-to-Model Transformation
We present a new, high-level approach for the specification of model-to-model transformations based on declarative patterns. These are (atomic or composite) constraints on triple ...
Juan de Lara, Esther Guerra
ML
2008
ACM
152views Machine Learning» more  ML 2008»
15 years 6 months ago
Learning near-optimal policies with Bellman-residual minimization based fitted policy iteration and a single sample path
Abstract. We consider batch reinforcement learning problems in continuous space, expected total discounted-reward Markovian Decision Problems. As opposed to previous theoretical wo...
András Antos, Csaba Szepesvári, R&ea...