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CEEMAS
2005
Springer
13 years 11 months ago
On Communication in Solving Distributed Constraint Satisfaction Problems
Abstract. Distributed Constraint Satisfaction Problems (DCSP) is a general framework for multi-agent coordination and conflict resolution. In most DCSP algorithms, inter-agent com...
Hyuckchul Jung, Milind Tambe
JAIR
2000
152views more  JAIR 2000»
13 years 5 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
ICTAI
2009
IEEE
13 years 3 months ago
A Generalized Cyclic-Clustering Approach for Solving Structured CSPs
We propose a new method for solving structured CSPs which generalizes and improves the Cyclic-Clustering approach [4]. First, the cutset and the tree-decomposition of the constrai...
Cédric Pinto, Cyril Terrioux
AAAI
2007
13 years 7 months ago
Using Expectation Maximization to Find Likely Assignments for Solving CSP's
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...
Eric I. Hsu, Matthew Kitching, Fahiem Bacchus, She...
AAAI
2008
13 years 7 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...