Rika Antonova

Compositional neurosymbolic representations enable efficient active exploration

Abstract Autonomous systems that learn and explore over long horizons face a problem. Standard methods scale poorly in the number of observations, n , precluding sustained operation on bounded hardware. We show that compositional, high-dimensional vector representations inspired...