Agent training configurations, videos of sampled traces, interaction and interestingness data for each scenario used in the paper "IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness" published at the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023).

Citation:

@proceedings{sequeira2023ixdrl,
    title={IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness},
    author={Pedro Sequeira and Melinda Gervasio},
    booktitle={Proceedings of The 1st World Conference on eXplainable Artificial Intelligence (xAI 2023)},
    year={2023},
    eprint={2307.08933},
    archivePrefix={arXiv},
    primaryClass={cs.AI}
    url = {https://arxiv.org/abs/2307.08933}
}