100 citations · 251 across the 21 of their papers we have counts for
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cs.AI2017
Servant of Many Masters: Shifting priorities in Pareto-optimal sequential decision-making
Andrew Critch, Stuart Russell
It is often argued that an agent making decisions on behalf of two or more principals who have different utility functions should adopt a {\em Pareto-optimal} policy, i.e., a polic…
cs.AI2017★ 6 cited
Toward negotiable reinforcement learning: shifting priorities in Pareto optimal sequential decision-making
Andrew Critch
Existing multi-objective reinforcement learning (MORL) algorithms do not account for objectives that arise from players with differing beliefs. Concretely, consider two players wit…