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» Optimal Regression for Reasoning about Knowledge and Actions
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CLIMA
2006
14 years 11 months ago
Multi-Agent FLUX for the Gold Mining Domain (System Description)
FLUX is a declarative, CLP-based programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledg...
Stephan Schiffel, Michael Thielscher
JOLLI
2010
123views more  JOLLI 2010»
14 years 8 months ago
The Situation Calculus: A Case for Modal Logic
Abstract The situation calculus is one of the most established formalisms for reasoning about action and change. In this paper we will review the basics of Reiter’s version of th...
Gerhard Lakemeyer
INFOCOM
2005
IEEE
15 years 3 months ago
Fairness and optimal stochastic control for heterogeneous networks
— We consider optimal control for general networks with both wireless and wireline components and time varying channels. A dynamic strategy is developed to support all traffic w...
Michael J. Neely, Eytan Modiano, Chih-Ping Li
CIKM
2010
Springer
14 years 7 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ICMAS
1998
14 years 11 months ago
How to Explore your Opponent's Strategy (almost) Optimally
This work presents a lookahead-based exploration strategy for a model-based learning agent that enables exploration of the opponent's behavior during interaction in a multi-a...
David Carmel, Shaul Markovitch