Hanging Zhao

Behaviour Learning with Adaptive Motif Discovery and Interacting Multiple Model

We propose an approach that enables simultaneous interpretable learning of a high-level discrete behaviour and its low-level rhythmic sub-behaviour. We do this though a unified reward function, where a reward function that only describes low-level behaviour, with less impact on learning of other beh…