Probing Emergent Semantics in Predictive Agents via Question Answering

ICLR 2020 Abhishek DasFederico CarnevaleHamza MerzicLaura RimellRosalia SchneiderJosh AbramsonAlden HungArun AhujaStephen ClarkGregory WayneFelix Hill

Recent work has shown how predictive modeling can endow agents with rich knowledge of their surroundings, improving their ability to act in complex environments. We propose question-answering as a general paradigm to decode and understand the representations that such agents develop, applying our method to two recent approaches to predictive modeling -action-conditional CPC (Guo et al., 2018) and SimCore (Gregor et al., 2019)... (read more)

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