Learning to request guidance in emergent language (D19-64)

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Challenge: Previous research into agent communication has shown that a pre-trained guide can speed up the learning process of an imitation learning agent.
Approach: They extend one-directional communication by a one-bit communication channel from the learner back to the guide and limit the guidance by penalizing the learners for these requests.
Outcome: The proposed guide can speed up the learning process of an imitation learning agent by providing the learner with discrete messages in an emerged language about how to solve the task.

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Challenge: a major challenge in studying emergent languages is interpreting how they convey meaning-neural networks may invent communication systems lacking features of human language.
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