Evgenii Aleksandrovich Dzhivelikian

Learning Successor Features with Distributed Hebbian Temporal Memory

This paper presents a novel approach to address the challenge of online sequence learning for decision making under uncertainty in non-stationary, partially observable environments. The proposed algorithm, Distributed Hebbian Temporal Memory (DHTM), is based on the factor graph formalism and a multi…