Exploration Driven by an Optimistic Bellman Equation
作者： Samuele Tosatto , Carlo D'Eramo , Joni Pajarinen , Marcello Restelli , Jan Peters
DOI: 10.1109/IJCNN.2019.8851736
关键词:
摘要: Exploring high-dimensional state spaces and finding sparse rewards are central problems in reinforcement learning. Exploration strategies are frequently either naïve (eg, simplistic …
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