Skip to content

Videos of sampled traces and spatio-temporal patterns visualizations for the IXDRL LLAAMA paper

License

Notifications You must be signed in to change notification settings

SRI-AIC/22-llaama-ixdrl-data

Repository files navigation

Videos of sampled traces and spatio-temporal patterns visualizations for clustering based on interestingness for the paper "Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning" published at the AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA).

Citation:

@proceedings{sequeira2022ixdrl,
    title={Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning},
    author={Pedro Sequeira and Jesse Hostetler and Melinda Gervasio},
    booktitle={Proceedings of AAAI FSS-22 Symposium "Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)"},
    year={2022},
    eprint={2211.06376},
    url = {http://arxiv.org/abs/2211.06376},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
}

About

Videos of sampled traces and spatio-temporal patterns visualizations for the IXDRL LLAAMA paper

Resources

License

Stars

Watchers

Forks