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AAAI
1994
15 years 7 months ago
Acting Optimally in Partially Observable Stochastic Domains
In this paper, we describe the partially observable Markov decision process pomdp approach to nding optimal or near-optimal control strategies for partially observable stochastic ...
Anthony R. Cassandra, Leslie Pack Kaelbling, Micha...
EAAI
2008
104views more  EAAI 2008»
15 years 6 months ago
Feasible distributed CSP models for scheduling problems
Nowadays, many real problems can be formalized as Distributed CSPs. A distributed constraint satisfaction problem (DisCSP) is a CSP in which variables and constraints are distribu...
Miguel A. Salido, Adriana Giret
SIGCSE
2008
ACM
162views Education» more  SIGCSE 2008»
15 years 6 months ago
Automatic extraction of notions from course material
Formally defining the knowledge units taught in a course helps instructors ensure a sound coverage of topics and provides an objective basis for comparing the content of two cours...
Michela Pedroni, Manuel Oriol, Bertrand Meyer, Luk...
JAIR
2002
120views more  JAIR 2002»
15 years 6 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
ICIDS
2010
Springer
15 years 5 months ago
Crowd-Sourced AI Authoring with ENIGMA
Abstract. ENIGMA is an experimental platform for collaborative authoring of the behaviour of autonomous virtual characters in interactive narrative applications. The main objective...
Michael Kriegel, Ruth Aylett