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Attentive Multi-Task Deep Reinforcement Learning
(2020)Lecture Notes in Computer Science ~ Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019Sharing knowledge between tasks is vital for efficient learning in a multi-task setting. However, most research so far has focused on the easier case where knowledge transfer is not harmful, i.e., where knowledge from one task cannot negatively impact the performance on another task. In contrast, we present an approach to multi-task deep reinforcement learning based on attention that does not require any a-priori assumptions about the ...Conference Paper