2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.AI2020★ 2 cited
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,…
cs.CY2016
Notes on socio-economic transparency mechanisms
Philipp Geiger
Clearly, socio-economic freedom requires some extent of transparency regarding the implications of choices. In this paper, we review some established mechanisms for achieving such…