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» Goal-Based Decisions for Dynamic Planning
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JAIR
2002
120views more  JAIR 2002»
14 years 9 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
EAAI
2008
113views more  EAAI 2008»
14 years 10 months ago
Airlift mission monitoring and dynamic rescheduling
We describe the Flight Manager Assistant (FMA), a prototype system, designed to support real-time management of airlift operations at the USAF Air Mobility Command (AMC). In curre...
David E. Wilkins, Stephen F. Smith, Laurence A. Kr...
ATAL
2007
Springer
15 years 4 months ago
Aborting tasks in BDI agents
Intelligent agents that are intended to work in dynamic environments must be able to gracefully handle unsuccessful tasks and plans. In addition, such agents should be able to mak...
John Thangarajah, James Harland, David N. Morley, ...
CIMCA
2008
IEEE
15 years 4 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
IQ
2001
14 years 11 months ago
Information Envelope and its Information Integrity Implications
: Physical and informational works are strongly interrelated in a business process. This facilitates modeling a business process as an integral part of a closed loop information an...
Vijay V. Mandke, Madhavan K. Nayar, Kamna Malik