Autonomous state-space segmentation for Deep-RL sparse reward scenarios

Gianluca Maselli, Vieri Giuliano Santucci

Dealing with environments with sparse rewards has always been crucial for systems developed to operate in autonomous open-ended learning settings. Intrinsic Motivations could be an…