@inproceedings{shafiullah2022behavior,
    author = {Shafiullah, Nur Muhammad and Cui, Zichen and Altanzaya, Ariuntuya Arty and Pinto, Lerrel},
    booktitle = {Advances in Neural Information Processing Systems},
    editor = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh},
    pages = {22955--22968},
    publisher = {Curran Associates, Inc.},
    title = {Behavior Transformers: Cloning k modes with one stone},
    url = {https://proceedings.neurips.cc/paper_files/paper/2022/file/90d17e882adbdda42349db6f50123817-Paper-Conference.pdf},
    volume = {35},
    year = {2022}
}

@inproceedings{NEURIPS2019_pytorch,
    author = {Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and Desmaison, Alban and Kopf, Andreas and Yang, Edward and DeVito, Zachary and Raison, Martin and Tejani, Alykhan and Chilamkurthy, Sasank and Steiner, Benoit and Fang, Lu and Bai, Junjie and Chintala, Soumith},
    booktitle = {Advances in Neural Information Processing Systems},
    editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett},
    pages = {},
    publisher = {Curran Associates, Inc.},
    title = {PyTorch: An Imperative Style, High-Performance Deep Learning Library},
    url = {https://proceedings.neurips.cc/paper/2019/file/bdbca288fee7f92f2bfa9f7012727740-Paper.pdf},
    volume = {32},
    year = {2019}
}


@book{sutton_reinforcement_2018,
	series = {Adaptive {Computation} and {Machine} {Learning} series},
	title = {Reinforcement {Learning}, second edition: {An} {Introduction}},
	isbn = {978-0-262-35270-3},
	url = {https://books.google.ch/books?id=uWV0DwAAQBAJ},
	publisher = {MIT Press},
	author = {Sutton, R.S. and Barto, A.G.},
	year = {2018},
}

@article{mnih_human-level_2015,
    title={Human-level control through deep reinforcement learning},
    author={Mnih, Volodymyr and Kavukcuoglu, Koray and Silver, David and Rusu, Andrei A and Veness, Joel and Bellemare, Marc G and Graves, Alex and Riedmiller, Martin and Fidjeland, Andreas K and Ostrovski, Georg and others},
    journal={nature},
    volume={518},
    number={7540},
    pages={529--533},
    year={2015},
    publisher={Nature Publishing Group}
}


@inproceedings{ng_algorithms_2000,
	title = {Algorithms for inverse reinforcement learning.},
	volume = {1},
	booktitle = {Icml},
	author = {Ng, Andrew Y and Russell, Stuart and {others}},
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	pages = {2},
}


@article{osa_algorithmic_2018,
	title = {An algorithmic perspective on imitation learning},
	volume = {7},
	number = {1-2},
	journal = {Foundations and Trends® in Robotics},
	author = {Osa, Takayuki and Pajarinen, Joni and Neumann, Gerhard and Bagnell, J Andrew and Abbeel, Pieter and Peters, Jan and {others}},
	year = {2018},
	note = {Publisher: Now Publishers, Inc.},
	pages = {1--179},
}


@article{vaswani_attention_2017,
	title = {Attention is all you need},
	volume = {30},
	journal = {Advances in neural information processing systems},
	author = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, Lukasz and Polosukhin, Illia},
	year = {2017},
}


@article{gym,
    title={Openai gym},
    author={Brockman, Greg and Cheung, Vicki and Pettersson, Ludwig and Schneider, Jonas and Schulman, John and Tang, Jie and Zaremba, Wojciech},
    journal={arXiv preprint arXiv:1606.01540},
    year={2016}
}


@inproceedings{dosovitskiy_carla_2017,
    title={CARLA: An open urban driving simulator},
    author={Dosovitskiy, Alexey and Ros, German and Codevilla, Felipe and Lopez, Antonio and Koltun, Vladlen},
    booktitle={Conference on robot learning},
    pages={1--16},
    year={2017},
    organization={PMLR}
}


@inproceedings{florence_implicit_2021,
    title={Implicit behavioral cloning},
    author={Florence, Pete and Lynch, Corey and Zeng, Andy and Ramirez, Oscar A and Wahid, Ayzaan and Downs, Laura and Wong, Adrian and Lee, Johnny and Mordatch, Igor and Tompson, Jonathan},
    booktitle={Conference on Robot Learning},
    pages={158--168},
    year={2022},
    organization={PMLR}
}

@article{gupta_relay_2019,
    title={Relay policy learning: Solving long-horizon tasks via imitation and reinforcement learning},
    author={Gupta, Abhishek and Kumar, Vikash and Lynch, Corey and Levine, Sergey and Hausman, Karol},
    journal={arXiv preprint arXiv:1910.11956},
    year={2019}
}


@inproceedings{lin_focal_2018,
    author={Lin, Tsung-Yi and Goyal, Priya and Girshick, Ross and He, Kaiming and Dollár, Piotr},
    booktitle={2017 IEEE International Conference on Computer Vision (ICCV)}, 
    title={Focal Loss for Dense Object Detection}, 
    year={2017},
    volume={},
    number={},
    pages={2999-3007},
    doi={10.1109/ICCV.2017.324}
  }

@software{noauthor_cresset_2022,
author = {Lee, Joonhyung},
license = {MIT},
title = {{Cresset: The One Template to Train Them All}},
url = {https://github.com/cresset-template/cresset}
}

@inproceedings{akiba_optuna_2019,
    title={Optuna: A next-generation hyperparameter optimization framework},
    author={Akiba, Takuya and Sano, Shotaro and Yanase, Toshihiko and Ohta, Takeru and Koyama, Masanori},
    booktitle={Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery \& data mining},
    pages={2623--2631},
    year={2019}
}


% Taken from the website
@Misc{yadan_hydra_2019,
    author =       {Omry Yadan},
    title =        {Hydra - A framework for elegantly configuring complex applications},
    howpublished = {Github},
    year =         {2019},
    url =          {https://github.com/facebookresearch/hydra}
}

@misc{wandb,
    title = {Experiment Tracking with Weights and Biases},
    year = {2020},
    note = {Software available from wandb.com},
    url={https://www.wandb.com/},
    author = {Biewald, Lukas},
}


@article{pineau2020machine,
    title={The machine learning reproducibility checklist},
    author={Pineau, Joelle and others},
    journal={McGill},
    year={2020}
}