Corpus ID: 221749529

Generalizing Emergent Communication.

@article{Unger2020GeneralizingEC,
  title={Generalizing Emergent Communication.},
  author={Thomas A. Unger and Elia Bruni},
  journal={arXiv: Artificial Intelligence},
  year={2020}
}

Thomas A. Unger, Elia Bruni

Published 2020

Computer Science

arXiv: Artificial Intelligence

We converted the recently developed BabyAI grid world platform to a sender/receiver setup in order to test the hypothesis that established deep reinforcement learning techniques are sufficient to incentivize the emergence of a grounded discrete communication protocol between generalized agents. This is in contrast to previous experiments that employed straight-through estimation or specialized inductive biases. Our results show that these can indeed be avoided, by instead providing proper… CONTINUE READING

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