Browsing Industrial engineering by Subject "Artificial intelligence"
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Incorporating Expert Knowledge into Rule Learning via Reinforcement Learning
Rule learning algorithms have great interpretability compared with other machine learning models. They also express strong power in discovering interactions between diverse variables. However, the performance of rule ... -
Information theoretic learning methods for Markov decision processes with parametric uncertainty
Markov decision processes (MDPs) model a class of stochastic sequential decision problems with applications in engineering, medicine, and business analytics. There is considerable interest in the literature in MDPs with ...