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NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at dc30b04
Licence files: No licence file at the top level of the repositoryEvidence: file list at dc30b04
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{gavenski2022how,
  title={How Resilient are Imitation Learning Methods to Sub-Optimal Experts?},
  author={Nathan Gavenski and Juarez Monteiro and Adilson Medronha and Rodrigo Barros},
  booktitle={2022 Brazilian Conference on Intelligent Systems (BRACIS)},
  year={2022},
  organization={IEEE}
}

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dataset_licence({ "id": "NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts" })
signal: "permissive"
stated_licence: "mit"
sources: 0