Causal Transfer for Imitation Learning and Decision Making under Sensor-shift

Jalal Etesami, Philipp Geiger

Learning from demonstrations (LfD) is an efficient paradigm to train AI agents. But major issues arise when there are differences between (a) the demonstrator's own sensory input,…