Compositional RL Agents That Follow Language Commands in Temporal Logic
We demonstrate how a reinforcement learning agent can use compositional recurrent neural net- works 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 sat...
| Main Authors: | , , |
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| Format: | Article |
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Center for Brains, Minds and Machines (CBMM), Frontiers in Robotics and AI
2022
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| Online Access: | https://hdl.handle.net/1721.1/141357 |