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Asking for Knowledge : Training RL Agents to Query External Knowledge Using Language

The repository contains Pytorch implementation of the Q-BabyAI, Q-TextWorld environments, and Asking for knowledge (AFK) agent.

If you used this code for your experiments or found it helpful, please consider citing the following paper:

@inproceedings{AFK2022,
  author = {Iou-Jen Liu$^\ast$ and Xingdi Yuan$^\ast$ and Marc-Alexandre C\^{o}t\'{e}$^\ast$ and Pierre-Yves Oudeyer and Alexander G. Schwing},
  title = {Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language},
  booktitle = {arXiv.},
  year = {2022},
  note = {$^\ast$ equal contribution}
}

Please see README.md in afk-q-babyai and afk-q-textworld/text_agent folder for detailed instruction for running the code.

Acknowledgement

The Q-babyAI environments and the RL agent are based on the BabyAI of https://github.com/mila-iqia/babyai

License

AFK is licensed under the MIT License

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