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#### Human-Embodied Agent Interaction
@article{ajoudani2018progress,
title={Progress and prospects of the human--robot collaboration},
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publisher={Springer}
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@inproceedings{fong2004peer,
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@inproceedings{levratti2016tirebot,
title={TIREBOT: A novel tire workshop assistant robot},
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@incollection{fisac2020pragmatic,
title={Pragmatic-pedagogic value alignment},
author={Fisac, Jaime F and Gates, Monica A and Hamrick, Jessica B and Liu, Chang and Hadfield-Menell, Dylan and Palaniappan, Malayandi and Malik, Dhruv and Sastry, S Shankar and Griffiths, Thomas L and Dragan, Anca D},
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title={Machine teaching for bayesian learners in the exponential family},
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title={Active preference-based learning of reward functions},
author={Sadigh, Dorsa and Dragan, Anca D and Sastry, Shankar and Seshia, Sanjit A},
year={2017},
journal={Proceedings of Robotics: Science and Systems (RSS)},
doi={ 10.15607/RSS.2017.XIII.053}
}

@article{Nikolaidis2017GameTheoreticMO,
title={Game-Theoretic Modeling of Human Adaptation in Human-Robot Collaboration},
author={Stefanos Nikolaidis and Swaprava Nath and Ariel D. Procaccia and Siddhartha S. Srinivasa},
journal={2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI},
year={2017},
pages={323-331}
}


@inproceedings{brown2021value,
title={Value alignment verification},
author={Brown, Daniel S and Schneider, Jordan and Dragan, Anca and Niekum, Scott},
booktitle={International Conference on Machine Learning},
pages={1105--1115},
year={2021},
organization={PMLR}
}

@article{christiano2017deep,
title={Deep reinforcement learning from human preferences},
author={Christiano, Paul F and Leike, Jan and Brown, Tom and Martic, Miljan and Legg, Shane and Amodei, Dario},
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volume={30},
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title={Concrete problems in AI safety},
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year={2016}
}



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title={Theory of mind},
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}

@article{ho2022planning,
title={Planning with theory of mind},
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journal={Trends in Cognitive Sciences},
year={2022},
publisher={Elsevier}
}

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@article{wimmer1983beliefs,
title={Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children's understanding of deception},
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publisher={Elsevier}
}

@article{tabrez2020survey,
title={A survey of mental modeling techniques in human--robot teaming},
author={Tabrez, Aaquib and Luebbers, Matthew B and Hayes, Bradley},
journal={Current Robotics Reports},
volume={1},
number={4},
pages={259--267},
year={2020},
publisher={Springer}
}

@book{perner1991understanding,
title={Understanding the representational mind.},
author={Perner, Josef},
year={1991},
publisher={The MIT Press}
}
@article{russell2015research,
title={Research priorities for robust and beneficial artificial intelligence},
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pages={105--114},
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}


@article{intentionmotionplan,
author = {Bandyopadhyay, Tirthankar and Kok, Sung and Won, Emilio and Frazzoli, David and Hsu, Wee and Lee, Daniela and Rus, Daniela},
year = {2013},
month = {02},
pages = {},
title = {Intention-Aware Motion Planning},
volume = {86},
isbn = {978-3-642-36278-1},
journal = {Springer Tracts in Advanced Robotics, Algorithmic Foundations of Robotics X},
doi = {10.1007/978-3-642-36279-8_29}
}

@inproceedings{collabaction,
author = {Nguyen, Truong-Huy and Hsu, David and Lee, Wee-Sun and Leong, Tze-Yun and Kaelbling, Leslie and Lozano-Perez, Tomas and Grant, Andrew},
year = {2011},
month = {10},
pages = {},
title = {CAPIR: Collaborative Action Planning with Intention Recognition},
journal = {Proceedings of the 7th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2011}
}

@article{Nikolaidis2013HumanrobotCC,
title={Human-robot cross-training: Computational formulation, modeling and evaluation of a human team training strategy},
author={Stefanos Nikolaidis and Julie A. Shah},
journal={2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
year={2013},
pages={33-40}
}

@inproceedings{baker2011bayesian,
title={Bayesian theory of mind: Modeling joint belief-desire attribution},
author={Baker, Chris and Saxe, Rebecca and Tenenbaum, Joshua},
booktitle={Proceedings of the annual meeting of the cognitive science society},
volume={33},
number={33},
year={2011}
}

@inproceedings{nikolaidis2016formalizing,
title={Formalizing human-robot mutual adaptation: A bounded memory model},
author={Nikolaidis, Stefanos and Kuznetsov, Anton and Hsu, David and Srinivasa, Siddhartha},
booktitle={2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
pages={75--82},
year={2016},
organization={IEEE}
}

@inproceedings{nikolaidis2017human,
title={Human-robot mutual adaptation in shared autonomy},
author={Nikolaidis, Stefanos and Zhu, Yu Xiang and Hsu, David and Srinivasa, Siddhartha},
booktitle={2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI},
pages={294--302},
year={2017},
organization={IEEE}
}


@inproceedings{bosch2019six,
title={Six challenges for human-AI Co-learning},
author={Bosch, Karel van den and Schoonderwoerd, Tjeerd and Blankendaal, Romy and Neerincx, Mark},
booktitle={International Conference on Human-Computer Interaction},
pages={572--589},
year={2019},
organization={Springer}
}


@article{van2021becoming,
title={Becoming team members: identifying interaction patterns of mutual adaptation for human-robot co-learning},
author={Van Zoelen, Emma M and Van Den Bosch, Karel and Neerincx, Mark},
journal={Frontiers in Robotics and AI},
volume={8},
year={2021},
publisher={Frontiers Media SA}
}

@inproceedings{brown2019machine,
title={Machine teaching for inverse reinforcement learning: Algorithms and applications},
author={Brown, Daniel S and Niekum, Scott},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={33},
number={01},
pages={7749--7758},
year={2019}
}

#### Human Robot Interaction
#### Human-Human Interaction
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