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IAT
2005
IEEE
15 years 11 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
SAC
2003
ACM
15 years 11 months ago
WebSOGO: A Global Ontology for Describing Web Sources
Based on the limitations raised by existing approaches in the context of the Semantic Web, we propose a formalism, Web Sources Global Ontology (WebSOGO), a data meta-model for the...
Edna Ruckhaus, Maria-Esther Vidal
ATAL
2008
Springer
15 years 8 months ago
LS/ABPM - an agent-powered suite for goal-oriented autonomic BPM
In this paper we shortly describe the Living Systems Autonomic Business Process Management (LS/ABPM) software product. LS/ABPM is an integrated environment, based on J2EE, Eclipse...
Giovanni Rimassa, Martin E. Kernland, Roberto Ghiz...
FLAIRS
2003
15 years 7 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
AAAI
2011
14 years 6 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird