Compositional RL Agents That Follow Language Commands in Temporal Logic
We demonstrate how a reinforcement learning agent can use compositional recurrent neural networks to learn to carry out commands specified in linear temporal logic (LTL). Our approach takes as input an LTL formula, structures a deep network according to the parse of the formula, and determines satis...
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Frontiers Media SA,
2021-10-12T13:33:19Z.
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Subjects: | |
Online Access: | Get fulltext |