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Preference-based planning in stochastic environments: From partially-ordered temporal goals to most preferred policies
Human preferences are not always represented via complete linear orders: It is natural to
employ partially-ordered preferences for expressing incomparable outcomes. In this work …
employ partially-ordered preferences for expressing incomparable outcomes. In this work …
Online pareto-optimal decision-making for complex tasks using active inference
When a robot autonomously performs a complex task, it frequently must balance competing
objectives while maintaining safety. This becomes more difficult in uncertain environments …
objectives while maintaining safety. This becomes more difficult in uncertain environments …