2021
DOI: 10.48550/arxiv.2110.09461
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In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications

Abstract: We address the problem of building agents whose goal is to satisfy out-of distribution (OOD) multi-task instructions expressed in temporal logic (TL) by using deep reinforcement learning (DRL). Recent works provided evidence that the deep learning architecture is a key feature when teaching a DRL agent to solve OOD tasks in TL. Yet, the studies on their performance are still limited. In this work, we analyse various state-of-the-art (SOTA) architectures that include generalisation mechanisms such as relational… Show more

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