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AIPS
2006
15 years 8 months ago
Predictive Planning for Supply Chain Management
Supply chains are ubiquitous in the manufacturing of many complex products. Traditionally, supply chains have been created through the intricate interactions of human representati...
David Pardoe, Peter Stone
AIPS
2006
15 years 8 months ago
Reusing and Building a Policy Library
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
Fernando Fernández, Manuela M. Veloso
AIPS
2006
15 years 8 months ago
Evaluating Mixed-Initiative Systems: An Experimental Approach
Mixed-Initiative approaches to Planning and Scheduling are being applied in different real world domains. While several recent successful examples of such tools encourage a wider ...
Gabriella Cortellessa, Amedeo Cesta
FLAIRS
2004
15 years 8 months ago
State Space Reduction For Hierarchical Reinforcement Learning
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Mehran Asadi, Manfred Huber
FLAIRS
2004
15 years 8 months ago
Decision Tree Extraction from Trained Neural Networks
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
Darren Dancey, David McLean, Zuhair Bandar
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