61 citations · 75 across the 8 of their papers we have counts for
4 papers · 1 filter
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:…
AI Challenges in Human-Robot Cognitive Teaming
Tathagata Chakraborti, Subbarao Kambhampati, Matthias Scheutz +1
Among the many anticipated roles for robots in the future is that of being a human teammate. Aside from all the technological hurdles that have to be overcome with respect to hardw…
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…
The MacGyver Test - A Framework for Evaluating Machine Resourcefulness and Creative Problem Solving
Vasanth Sarathy, Matthias Scheutz
Current measures of machine intelligence are either difficult to evaluate or lack the ability to test a robot's problem-solving capacity in open worlds. We propose a novel evaluati…