Off-Policy Prediction Learning: An Empirical Study of Online ...

We observed that Emphatic TD(?) tends to have lower asymptotic error than other algorithms but might learn more slowly in some cases. Based on the empirical ...







Graph-Structure Based Multi-Granular Belief Fusion for Human ...
Abstract?The Belief Functions (BFs) introduced by Shafer in the mid of 1970s are widely applied in information fusion to model epistemic uncertainty and to ...
Élagage efficace des filtres basé sur les décompositions tensorielles
Résumé ? Nous présentons une nouvelle méthode d'élagage des filtres pour les réseaux de neurones, appelée CORING (pour. effiCient tensOr decomposition-based ...
Towards practical taxonomic classification for description logics on ...
This is a survey paper on the subject of Strong Uniqueness in approximation theory. The concept of strong uniqueness was introduced by ...



Autres Cours:

Disentangled Representation Learning for Causal Inference With ...