SESNO: Sample Efficient Social Navigation from Observation
Bobak H. Baghi,Abhisek Konar,Francois Hogan,Michael Jenkin,Gregory Dudek,Bobak H. Baghi,Abhisek Konar,Francois Hogan,Michael Jenkin,Gregory Dudek
In this paper, we present the Sample Efficient Social Navigation from Observation (SESNO) algorithm that efficiently learns socially-compliant navigation policies from observations of human trajectories. SESNO is an inverse reinforcement learning (IRL)-based algorithm that learns from human trajectory observations without knowledge of their actions. We improve the sample-efficiency over previous I...
