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ABIALS
2008
Springer
15 years 6 months ago
Anticipatory Learning Classifier Systems and Factored Reinforcement Learning
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
IJCAI
2007
15 years 5 months ago
Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
Yi Zhang 0010, Xiaoming Jin
NIPS
2007
15 years 5 months ago
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have a...
Stéphane Ross, Joelle Pineau, Brahim Chaib-...
AAAI
2006
15 years 5 months ago
Temporal Preference Optimization as Weighted Constraint Satisfaction
We present a new efficient algorithm for obtaining utilitarian optimal solutions to Disjunctive Temporal Problems with Preferences (DTPPs). The previous state-of-the-art system ac...
Michael D. Moffitt, Martha E. Pollack
DGO
2004
112views Education» more  DGO 2004»
15 years 5 months ago
Exploration and Exploitation: Knowledge Sharing in Digital Government Projects
This paper examines knowledge sharing processes in digital government projects (DGPs). Although knowledge sharing processes are a central feature of the functioning of government,...
Maria Christina Binz-Scharf