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» Agent programming via planning programs
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AAAI
2010
15 years 1 months ago
Relational Partially Observable MDPs
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
Chenggang Wang, Roni Khardon
ATAL
1997
Springer
15 years 3 months ago
A Formal Specification of dMARS
The Procedural Reasoning System (PRS) is the best established agent architecture currently available. It has been deployed in many major industrial applications, ranging from fault...
Mark d'Inverno, David Kinny, Michael Luck, Michael...
AAAI
2000
15 years 1 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
122
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AIPS
2004
15 years 1 months ago
Optimal Resource Allocation and Policy Formulation in Loosely-Coupled Markov Decision Processes
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
Dmitri A. Dolgov, Edmund H. Durfee
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 5 months ago
Evolving fuzzy decision tree structure that adapts in real-time
A fuzzy logic algorithm has been developed that automatically allocates electronic attack (EA) resources distributed over different platforms in real-time. The controller must be ...
James F. Smith III