Proposes Mutual Information Surprise (MIS) framework and reaction policy using sampling adjustment and process forking that outperforms classical surprise measures on synthetic and pollution estimation tasks.
This is true when we regard the initial observations as true system information
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Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems
Proposes Mutual Information Surprise (MIS) framework and reaction policy using sampling adjustment and process forking that outperforms classical surprise measures on synthetic and pollution estimation tasks.