The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Abstract— Social decision support systems are able to aggregate the local perspectives of a diverse group of individuals into a global social decision. This paper presents a mult...
Collecting digital materials is time-consuming and can gain from automation. Since each source—and even each acquisition—may involve a separate negotiation of terms, a collecto...
Fillia Makedon, Song Ye, Sheng Zhang, James Ford, ...
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Arc consistency filtering is widely used in the framework of binary constraint satisfaction problems: with a low complexity, inconsistency may be detected,and domains are filtered...