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• W3209719579 abstract "Principled decision-making in continuous state--action spaces is impossible without some assumptions. A common approach is to assume Lipschitz continuity of the Q-function. We show that, unfortunately, this property fails to hold in many typical domains. We propose a new coarse-grained smoothness definition that generalizes the notion of Lipschitz continuity, is more widely applicable, and allows us to compute significantly tighter bounds on Q-functions, leading to improved learning. We provide a theoretical analysis of our new smoothness definition, and discuss its implications and impact on control and exploration in continuous domains." @default.
• W3209719579 created "2021-11-08" @default.
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• W3209719579 date "2021-10-23" @default.
• W3209719579 modified "2023-09-23" @default.
• W3209719579 title "Coarse-Grained Smoothness for RL in Metric Spaces." @default.
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• W3209719579 hasPublicationYear "2021" @default.
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