HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory

Jakob Struye, Kevin Mets, Steven Latré

Building Reinforcement Learning (RL) algorithms which are able to adapt to continuously evolving tasks is an open research challenge. One technology that is known to inherently han…