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eess.SY2017
Interpretable Apprenticeship Learning with Temporal Logic Specifications
Daniel Kasenberg, Matthias Scheutz
Recent work has addressed using formulas in linear temporal logic (LTL) as specifications for agents planning in Markov Decision Processes (MDPs). We consider the inverse problem:…
eess.SY2017
Norm Conflict Resolution in Stochastic Domains
Daniel Kasenberg, Matthias Scheutz
Artificial agents will need to be aware of human moral and social norms, and able to use them in decision-making. In particular, artificial agents will need a principled approach t…