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AAAI
1996
15 years 7 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
AAAI
1996
15 years 7 months ago
Building Classifiers Using Bayesian Networks
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of independence among features, called naive Bayes, is competit...
Nir Friedman, Moisés Goldszmidt
AAAI
1994
15 years 7 months ago
Control Strategies for a Stochastic Planner
We present new algorithms for local planning over Markov decision processes. The base-level algorithm possesses several interesting features for control of computation, based on s...
Jonathan Tash, Stuart J. Russell
CASCON
1996
140views Education» more  CASCON 1996»
15 years 7 months ago
Improving cohesiveness and flexibility in systems management architectures using distributed object technologies over the intern
Management applications are sensitive to changes in application and system configuration. This coupling makes it difficult and expensive to develop management applications and kee...
Asham El Rayess, Vidar Vetland, Jerome A. Rolia, J...
AAAI
1992
15 years 7 months ago
Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. ...