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World Model-based Reinforcement Learning (WMRL) enables sample efficient policy learning by reducing the need for online interactions which can potentially be costly and unsafe, especially for autonomous driving.
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Volodymyr Mnih et al · 2013
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Alexey Dosovitskiy et al · 2017
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