A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning

Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayahuitl

Deep Reinforcement Learning (DRL) is a promising approach for teaching robots new behaviour. However, one of its main limitations is the need for carefully hand-coded reward signal…