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IAT
2005
IEEE
15 years 10 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
AIPS
2010
15 years 6 months ago
Cost-Optimal Factored Planning: Promises and Pitfalls
Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...
Eric Fabre, Loig Jezequel, Patrik Haslum, Sylvie T...
AIPS
2008
15 years 6 months ago
Effective Information Value Calculation for Interruption Management in Multi-Agent Scheduling
This paper addresses the problem of deciding effectively whether to interrupt a teammate who may have information that is valuable for solving a collaborative scheduling problem. ...
David Sarne, Barbara J. Grosz, Peter Owotoki
FLAIRS
2003
15 years 5 months ago
LIDS: Learning Intrusion Detection System
The detection of attacks against computer networks is becoming a harder problem to solve in the field of network security. The dexterity of the attackers, the developing technolog...
Mayukh Dass, James Cannady, Walter D. Potter
MATES
2010
Springer
15 years 2 months ago
Context-Aware Route Planning
Context-aware routing is the problem of finding the shortest route from a start location to a destination location while taking into account the planned movements of other agents...
Adriaan ter Mors, Cees Witteveen, Jonne Zutt, Fern...