Erdem Bıyık bio photo

Erdem Bıyık

I am a postdoctoral scholar at UC Berkeley, doing research on artificial intelligence for human-robot interaction, active robot learning, and multi-agent systems.

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My Publications

You can also browse my Google Scholar profile.

Journal Publications

  • E Bıyık, N Anari, D Sadigh
    Batch Active Learning of Reward Functions from Human Preferences
    Submitted to ACM Transactions on Human-Robot Interaction (THRI), 2022
    [BibTeX] 

    @article{biyik2022batch,
  title={Batch Active Learning of Reward Functions from Human Preferences},
  author={Biyik, Erdem and Anari, Nima and Sadigh, Dorsa},
  journal={Submitted to ACM Transactions on Human-Robot Interaction (THRI)},
  year={2022}
}

  • E Bıyık, DP Losey, M Palan, NC Landolfi, G Shevchuk, D Sadigh
    Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences
    The International Journal of Robotics Research (IJRR), vol. 41, no. 1, pp. 45-67, 2022; doi: 10.1177/02783649211041652
    [BibTeX] [PDF] 

    @article{biyik2022learning,
  title={Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences},
  author={Biyik, Erdem and Losey, Dylan P. and Palan, Malayandi and Landolfi, Nick and Shevchuk, Gleb and Sadigh, Dorsa},
  journal={The International Journal of Robotics Research (IJRR)},
  year={2022},
  publisher={SAGE Publications Sage UK: London, England},
  doi={10.1177/02783649211041652},
  month=jan,
  volume={41},
  number={1},
  pages={45--67}
}

  • DA Lazar*, E Bıyık*, D Sadigh, R Pedarsani (*equal contribution)
    Learning How to Dynamically Route Autonomous Vehicles on Shared Roads
    Transportation Research Part C: Emerging Technologies, vol. 130, pp. 103258, 2021; doi: 10.1016/j.trc.2021.103258
    [BibTeX] [PDF] [Code] [Video] 

    @article{lazar2021learning,
  title={Learning How to Dynamically Route Autonomous Vehicles on Shared Roads},
  author={Lazar, Daniel A. and Biyik, Erdem and Sadigh, Dorsa and Pedarsani, Ramtin},
  journal={Transportation Research Part C: Emerging Technologies},
  volume = {130},
  pages = {103258},
  year = {2021},
  month = sep,
  issn = {0968-090X},
  publisher={Elsevier},
  doi={10.1016/j.trc.2021.103258}
}

  • E Bıyık*, DA Lazar*, R Pedarsani, D Sadigh (*equal contribution)
    Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy
    IEEE Transactions on Control of Network Systems (TCNS), vol. 8, no. 4, pp. 1717-1729, 2021; doi: 10.1109/TCNS.2021.3084045
    [BibTeX] [PDF] 

    @article{biyik2021incentivizing,
  title={Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy},
  author={Biyik, Erdem and Lazar, Daniel A. and Pedarsani, Ramtin and Sadigh, Dorsa},
  journal={IEEE Transactions on Control of Network Systems},
  volume={8},
  number={4},
  pages={1717--1729},
  year={2021},
  publisher={IEEE},
  doi={10.1109/TCNS.2021.3084045}
}

  • E Biyik*, K Keskin*, SUH Dar, A Koc, T Çukur (*equal contribution)
    Factorized sensitivity estimation for artifact suppression in phase-cycled bSSFP MRI
    NMR in Biomedicine, vol. 33, no. 4, pp. e4228, 2020; doi: 10.1002/nbm.4228
    [BibTeX] [PDF] 

    @article{biyik2020factorized,
  title={Factorized sensitivity estimation for artifact suppression in phase-cycled bSSFP MRI},
  author={Biyik, Erdem and Keskin, Kubra and Dar, Salman U.H. and Koc, Aykut and {\c{C}}ukur, Tolga},
  journal={NMR in Biomedicine},
  volume={33},
  number={4},
  pages={e4228},
  year={2020},
  doi={10.1002/nbm.4228}
}

  • E Biyik, E Ilicak, T Çukur
    Reconstruction by Calibration over Tensors for Multi-Coil Multi-Acquisition Balanced SSFP Imaging
    Magnetic Resonance in Medicine (MRM), vol. 79, no. 5, pp. 2542 - 2554, 2018; doi: 10.1002/mrm.26902
    [BibTeX] [PDF] [Code] 

    @article{biyik2018reconstruction,
  title={Reconstruction by calibration over tensors for multi-coil multi-acquisition balanced SSFP imaging},
  author={Biyik, Erdem and Ilicak, Efe and {\c{C}}ukur, Tolga},
  journal={Magnetic resonance in medicine},
  volume={79},
  number={5},
  pages={2542--2554},
  year={2018},
  doi={10.1002/mrm.26902},
  publisher={Wiley Online Library}
}

  • E Ilicak, LK Senel, E Biyik, T Çukur
    Profile-encoding reconstruction for multiple-acquisition balanced steady-state free precession imaging
    Magnetic Resonance in Medicine (MRM), vol. 78, no. 4, pp. 1316 - 1329, 2017; doi: 10.1002/mrm.26507
    [BibTeX] [PDF] 

    @article{ilicak2017profile,
  title={Profile-encoding reconstruction for multiple-acquisition balanced steady-state free precession imaging},
  author={Ilicak, Efe and Senel, Lutfi Kerem and Biyik, Erdem and {\c{C}}ukur, Tolga},
  journal={Magnetic resonance in medicine},
  volume={78},
  number={4},
  pages={1316--1329},
  year={2017},
  doi={10.1002/mrm.26507},
  publisher={Wiley Online Library}
}

Refereed Conference Publications

  • M Srivastava, E Bıyık, S Mirchandani, ND Goodman, D Sadigh
    Assistive Teaching of Motor Control Tasks to Humans
    36th Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, Nov. 2022
    [BibTeX] 

    @inproceedings{srivastava2022assistive,
  title={Assistive Teaching of Motor Control Tasks to Humans},
  author={Srivastava, Megha and Biyik, Erdem and Mirchandani, Suvir and Goodman, Noah D. and Sadigh, Dorsa},
  booktitle={36th Conference on Neural Information Processing Systems (NeurIPS)},
  year={2022},
  month=nov
}

  • E Brockbank*, H Wang*, J Yang, S Mirchandani, E Bıyık, D Sadigh, JE Fan (*equal contribution)
    How do People Incorporate Advice from Artificial Agents when Making Physical Judgments?
    44th Annual Meeting of the Cognitive Science Society (CogSci), Toronto, Ontario, Canada, Jul. 2022
    [BibTeX] [PDF] 

    @inproceedings{brockbank2022how,
  title={How do People Incorporate Advice from Artificial Agents when Making Physical Judgments?},
  author={Brockbank, Erik and Wang, Haloliang and Yang, Justin and Mirchandani, Suvir and Biyik, Erdem and Sadigh, Dorsa and Fan, Judith E.},
  booktitle={44th Annual Meeting of the Cognitive Science Society (CogSci)},
  year={2022},
  month=jul
}

  • Z Cao, E Bıyık, G Rosman, D Sadigh
    Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
    International Conference on Robotics and Automation (ICRA), Philadelphia, Pennsylvania, USA, May 2022; doi: 10.1109/ICRA46639.2022.9811718
    [BibTeX] [PDF] [Website] [Talk] 

    @inproceedings{cao2021leveraging,
  title={Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction},
  author={Cao, Zhangjie and Biyik, Erdem and Rosman, Guy and Sadigh, Dorsa},
  booktitle={International Conference on Robotics and Automation (ICRA)},
  year={2022},
  month=may,
  doi={10.1109/ICRA46639.2022.9811718}
}

  • E Bıyık, A Talati, D Sadigh
    APReL: A Library for Active Preference-based Reward Learning Algorithms
    ACM/IEEE International Conference on Human-Robot Interaction (HRI), Sapporo, Hokkaido, Japan, Mar. 2022
    [BibTeX] [PDF] [Website] [Code] [Video] [Talk] 

    @inproceedings{biyik2022aprel,
  title={APReL: A Library for Active Preference-based Reward Learning Algorithms},
  author={Biyik, Erdem and Talati, Aditi and Sadigh, Dorsa},
  booktitle={ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  year={2022},
  month=mar
}

  • E Bıyık, A Lalitha, R Saha, A Goldsmith, D Sadigh
    Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
    Proceedings of the 36th AAAI Conference on Artificial Intelligence, Vancouver, British Columbia, Canada, Feb. 2022; doi: 10.1609/aaai.v36i9.21158
    [BibTeX] [PDF] [Website] [Code] [Video] [Talk] 

    @inproceedings{biyik2022partner,
  title={Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams},
  author={Biyik, Erdem and Lalitha, Anusha and Saha, Rajarshi and Goldsmith, Andrea and Sadigh, Dorsa},
  booktitle={Proceedings of the 36th AAAI Conference on Artificial Intelligence},
  year={2022},
  month=feb,
  doi={10.1609/aaai.v36i9.21158}
}

  • N Wilde*, E Bıyık*, D Sadigh, SL Smith (*equal contribution)
    Learning Reward Functions from Scale Feedback
    5th Conference on Robot Learning (CoRL), London, United Kingdom, Nov. 2021
    [BibTeX] [PDF] [Website] [Code] [Video] 

    @inproceedings{wilde2021learning,
  title={Learning Reward Functions from Scale Feedback},
  author={Wilde, Nils and Biyik, Erdem and Sadigh, Dorsa and Smith, Stephen L.},
  booktitle={5th Conference on Robot Learning (CoRL)},
  year={2021},
  month=nov
}

  • V Myers, E Bıyık, N Anari, D Sadigh
    Learning Multimodal Rewards from Rankings
    5th Conference on Robot Learning (CoRL), London, United Kingdom, Nov. 2021
    [BibTeX] [PDF] [Website] [Code] [Video] 

    @inproceedings{myers2021learning,
  title={Learning Multimodal Rewards from Rankings},
  author={Myers, Vivek and Biyik, Erdem and Anari, Nima and Sadigh, Dorsa},
  booktitle={5th Conference on Robot Learning (CoRL)},
  year={2021},
  month=nov
}

  • WZ Wang*, M Beliaev*, E Bıyık*, DA Lazar, R Pedarsani, D Sadigh (*equal contribution)
    Emergent Prosociality in Multi-Agent Games Through Gifting
    30th International Joint Conference on Artificial Intelligence (IJCAI), Montreal, Quebec, Canada, Aug. 2021; doi: 10.24963/ijcai.2021/61
    [BibTeX] [PDF] [Code] [Talk] 

    @inproceedings{wang2021emergent,
  title={Emergent Prosociality in Multi-Agent Games Through Gifting},
  author={Wang, Woodrow Z. and Beliaev, Mark and Biyik, Erdem and Lazar, Daniel A. and Pedarsani, Ramtin and Sadigh, Dorsa},
  booktitle={30th International Joint Conference on Artificial Intelligence (IJCAI)},
  year={2021},
  month=aug,
  doi={10.24963/ijcai.2021/61}
}

  • K Li, M Tucker, E Bıyık, E Novoseller, JW Burdick, Y Sui, D Sadigh, Y Yue, AD Ames
    ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
    International Conference on Robotics and Automation (ICRA), Xi'an, China, May 2021; doi: 10.1109/ICRA48506.2021.9560840
    [BibTeX] [PDF] [Website] [Code] [Video] [Talk] 

    @inproceedings{li2021roial,
 title={ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes},
 author={Li, Kejun and Tucker, Maegan and Biyik, Erdem and Novoseller, Ellen and Burdick, Joel W. and Sui, Yanan and Sadigh, Dorsa and Yue, Yisong and Ames, Aaron D.},
 booktitle={International Conference on Robotics and Automation (ICRA)},
 year={2021},
 month=may,
 doi={10.1109/ICRA48506.2021.9560840}
}

  • M Beliaev, E Bıyık, DA Lazar, WZ Wang, D Sadigh, R Pedarsani
    Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
    12th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), Nashville, Tennessee, USA, May 2021; doi: 10.1145/3450267.3450546
    [BibTeX] [PDF] [Talk] 

    @inproceedings{beliaev2021incentivizing,
  title={Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic},
  author={Beliaev, Mark and Biyik, Erdem and Lazar, Daniel A. and Wang, Woodrow Z. and Sadigh, Dorsa and Pedarsani, Ramtin},
  booktitle={12th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS)},
  year={2021},
  month=may,
  doi={10.1145/3450267.3450546}
}

  • Z Zhu, E Bıyık, D Sadigh
    Multi-Agent Safe Planning with Gaussian Processes
    Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, Nevada, USA, Oct. 2020; doi: 10.1109/IROS45743.2020.9341169
    [BibTeX] [PDF] [Video] 

    @inproceedings{zhu2020multi,
  title={Multi-Agent Safe Planning with Gaussian Processes},
  author={Zhu, Zheqing and Biyik, Erdem and Sadigh, Dorsa},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2020},
  month=oct,
  doi={10.1109/IROS45743.2020.9341169}
}

  • E Bıyık*, N Huynh*, MJ Kochenderfer, D Sadigh (*equal contribution)
    Active Preference-Based Gaussian Process Regression for Reward Learning
    Proceedings of Robotics: Science and Systems (RSS), Corvallis, Oregon, USA, Jul. 2020; doi: 10.15607/rss.2020.xvi.041
    [BibTeX] [PDF] [Code] [Video] [Talk] 

    @inproceedings{biyik2020active,
  title={Active Preference-Based Gaussian Process Regression for Reward Learning},
  author={Biyik, Erdem and Huynh, Nicolas and Kochenderfer, Mykel J. and Sadigh, Dorsa},
  booktitle={Proceedings of Robotics: Science and Systems (RSS)},
  year={2020},
  month=jul,
  doi={10.15607/rss.2020.xvi.041}
}

  • Z Cao*, E Bıyık*, WZ Wang, A Raventos, A Gaidon, G Rosman, D Sadigh (*equal contribution)
    Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
    Proceedings of Robotics: Science and Systems (RSS), Corvallis, Oregon, USA, Jul. 2020; doi: 10.15607/rss.2020.xvi.039
    [BibTeX] [PDF] [Code] [Video] [Talk] 

    @inproceedings{cao2020reinforcement,
  title={Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving},
  author={Cao, Zhangjie and Biyik, Erdem and Wang, Woodrow Z. and Raventos, Allan and Gaidon, Adrien and Rosman, Guy and Sadigh, Dorsa},
  booktitle={Proceedings of Robotics: Science and Systems (RSS)},
  year={2020},
  month=jul,
  doi={10.15607/rss.2020.xvi.039}
}

  • M Kwon, E Bıyık, A Talati, K Bhasin, DP Losey, D Sadigh
    When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
    ACM/IEEE International Conference on Human-Robot Interaction (HRI), Cambridge, United Kingdom, Mar. 2020; doi: 10.1145/3319502.3374832
    Honorable mention award.
    [BibTeX] [PDF] [Video] [Talk] 

    @inproceedings{kwon2020when,
  title={When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans},
  author={Kwon, Minae and Biyik, Erdem and Talati, Aditi and Bhasin, Karan and Losey, Dylan P. and Sadigh, Dorsa},
  booktitle={ACM/IEEE International Conference on Human-Robot Interaction (HRI)},
  year={2020},
  month=mar,
  doi={10.1145/3319502.3374832}
}

  • E Bıyık, DA Lazar, D Sadigh, R Pedarsani
    The Green Choice: Learning and Influencing Human Decisions on Shared Roads
    Proceedings of the 58th IEEE Conference on Decision and Control (CDC), Nice, France, Dec. 2019; doi: 10.1109/CDC40024.2019.9030169
    [BibTeX] [PDF] 

    @inproceedings{biyik2019green,
  title={The Green Choice: Learning and Influencing Human Decisions on Shared Roads},
  author={Biyik, Erdem and Lazar, Daniel A. and Sadigh, Dorsa and Pedarsani, Ramtin},
  booktitle={Proceedings of the 58th IEEE Conference on Decision and Control (CDC)},
  year={2019},
  month=dec,
  doi={10.1109/CDC40024.2019.9030169}
}

  • C Basu, E Bıyık, Z He, M Singhal, D Sadigh
    Active Learning of Reward Dynamics from Hierarchical Queries
    Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, Nov. 2019; doi: 10.1109/IROS40897.2019.8968522
    [BibTeX] [PDF] 

    @inproceedings{basu2019active,
  title={Active Learning of Reward Dynamics from Hierarchical Queries},
  author={Basu, Chandrayee and Biyik, Erdem and He, Zhixun and Singhal, Mukesh and Sadigh, Dorsa},
  booktitle={Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2019},
  month=nov,
  doi={10.1109/IROS40897.2019.8968522}
}

  • E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh
    Asking Easy Questions: A User-Friendly Approach to Active Reward Learning
    3rd Conference on Robot Learning (CoRL), Osaka, Japan, Oct. 2019
    [BibTeX] [PDF] [Code] [Video] [Talk] 

    @inproceedings{biyik2019asking,
  title={Asking Easy Questions: A User-Friendly Approach to Active Reward Learning},
  author={Biyik, Erdem and Palan, Malayandi and Landolfi, Nicholas C. and Losey, Dylan P. and Sadigh, Dorsa},
  booktitle={3rd Conference on Robot Learning (CoRL)},
  year={2019},
  month=oct
}

  • E Bıyık*, J Margoliash*, SR Alimo, D Sadigh (*equal contribution)
    Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models
    Proceedings of American Control Conference (ACC), Philadelphia, Pennsylvania, USA, Jul. 2019; doi: 10.23919/ACC.2019.8815276
    [BibTeX] [PDF] 

    @inproceedings{biyik2019efficient,
  title={Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models},
  author={Biyik, Erdem and Margoliash, Jonathan and Alimo, S Ryan and Sadigh, Dorsa},
  booktitle={Proceedings of American Control Conference (ACC)},
  year={2019},
  month=jul,
  doi={10.23919/ACC.2019.8815276}
}

  • E Bıyık*, DA Lazar*, R Pedarsani, D Sadigh (*equal contribution)
    Altruistic Autonomy: Beating Congestion on Shared Roads
    13th International Workshop on Algorithmic Foundations of Robotics (WAFR), Mérida, México, Dec. 2018; doi: 10.1007/978-3-030-44051-0_51
    [BibTeX] [PDF] [Video] 

    @inproceedings{biyik2018altruistic,
  title={Altruistic Autonomy: Beating Congestion on Shared Roads},
  author={Biyik, Erdem and Lazar, Daniel A and Pedarsani, Ramtin and Sadigh, Dorsa},
  booktitle={Workshop on Algorithmic Foundations of Robotics (WAFR)},
  year={2018},
  month=dec,
  doi={10.1007/978-3-030-44051-0\_51}
}

  • E Bıyık, D Sadigh
    Batch Active Preference-Based Learning of Reward Functions
    Proceedings of 2nd Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018
    [BibTeX] [PDF] [Code] [Video 1] [Video 2] [Talk] 

    @inproceedings{biyik2018batch,
  title={Batch Active Preference-Based Learning of Reward Functions},
  author={Biyik, Erdem and Sadigh, Dorsa},
  booktitle={2nd Conference on Robot Learning (CoRL)},
  year={2018},
  pages={519--528},
  volume={87},
  series={Proceedings of Machine Learning Research},
  publisher={PMLR},
  month=oct
}

  • HC Baykara*, E Bıyık*, G Gül*, D Onural*, AS Öztürk*, İ Yıldız* (*equal contribution)
    Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos
    International Conference on Tools with Artificial Intelligence (ICTAI), Boston, Massachusetts, USA, Nov. 2017; doi: 10.1109/ICTAI.2017.00145
    [BibTeX] [PDF] [Video] 

    @inproceedings{baykara2017real,
  title={Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos},
  author={Baykara, Huseyin Can and Biyik, Erdem and Gul, Gamze and Onural, Deniz and Ozturk, Ahmet Safa and Yildiz, Ilkay},
  booktitle={Tools with Artificial Intelligence (ICTAI), 2017 IEEE 29th International Conference on},
  organization={IEEE},
  year={2017},
  month=nov,
  doi={10.1109/ICTAI.2017.00145}
}

  • E Bıyık, J Barbier, M Dia
    Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes
    International Symposium on Information Theory (ISIT), Aachen, Germany, Jun. 2017; doi: 10.1109/ISIT.2017.8006798
    [BibTeX] [PDF] [Code] 

    @inproceedings{biyik2017generalized,
  title={Generalized approximate message-passing decoder for universal sparse superposition codes},
  author={Biyik, Erdem and Barbier, Jean and Dia, Mohamad},
  booktitle={Information Theory (ISIT), 2017 IEEE International Symposium on},
  pages={1593--1597},
  organization={IEEE},
  year={2017},
  month=jun,
  doi={10.1109/ISIT.2017.8006798}
}

Workshop Proceedings

  • E Bıyık
    Learning from Humans for Adaptive Interaction
    The 17th Annual Human-Robot Interaction Pioneers Workshop (HRI Pioneers), Sapporo, Hokkaido, Japan, Mar. 2022
    [BibTeX] [PDF] 

    @inproceedings{biyik2022learning,
  title={Learning from Humans for Adaptive Interaction},
  author={Biyik, Erdem},
  booktitle={The 17th Annual Human-Robot Interaction Pioneers Workshop (HRI Pioneers)},
  year={2022},
  month=mar
}

  • M Kwon, E Bıyık, A Talati, K Bhasin, DP Losey, D Sadigh
    When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
    Cooperative AI NeurIPS Workshop 2021, Virtual, Dec. 2021
    [BibTeX] [PDF] 

    @inproceedings{kwon2021when,
  title={When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans},
  author={Kwon, Minae and Biyik, Erdem and Talati, Aditi and Bhasin, Karan and Losey, Dylan P. and Sadigh, Dorsa},
  booktitle={Cooperative AI NeurIPS Workshop 2021},
  year={2021},
  month=dec
}

  • E Bıyık, A Lalitha, R Saha, A Goldsmith, D Sadigh
    Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams
    Artificial Intelligence for Human-Robot Interaction Symposium (AI-HRI) at AAAI Fall Symposium Series, Virtual, Nov. 2021
    [BibTeX] [PDF] [Website] [Code] [Video] [Talk] 

    @inproceedings{biyik2021partner,
  title={Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams},
  author={Biyik, Erdem and Lalitha, Anusha and Saha, Rajarshi and Goldsmith, Andrea and Sadigh, Dorsa},
  booktitle={Artificial Intelligence for Human-Robot Interaction Symposium (AI-HRI) at AAAI Fall Symposium Series},
  year={2021},
  month=nov
}

  • E Bıyık, A Talati, D Sadigh
    APReL: A Library for Active Preference-based Reward Learning Algorithms
    Artificial Intelligence for Human-Robot Interaction Symposium (AI-HRI) at AAAI Fall Symposium Series, Virtual, Nov. 2021
    [BibTeX] [PDF] [Website] [Code] [Video] [Talk] 

    @inproceedings{biyik2021aprel,
  title={APReL: A Library for Active Preference-based Reward Learning Algorithms},
  author={Biyik, Erdem and Talati, Aditi and Sadigh, Dorsa},
  booktitle={Artificial Intelligence for Human-Robot Interaction Symposium (AI-HRI) at AAAI Fall Symposium Series},
  year={2021},
  month=nov
}

  • M Beliaev*, WZ Wang*, DA Lazar, E Bıyık, D Sadigh, R Pedarsani (*equal contribution)
    Emergent Correlated Equilibrium through Synchronized Exploration
    RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems, Corvallis, Oregon, USA, Jul. 2020
    [BibTeX] [PDF] [Talk] 

    @inproceedings{beliaev2020emergent,
  title={Emergent Correlated Equilibrium through Synchronized Exploration},
  author={Beliaev, Mark and Wang, Woodrow Z. and Lazar, Daniel A. and Biyik, Erdem and Sadigh, Dorsa and Pedarsani, Ramtin},
  booktitle={RSS 2020 Workshop on Emergent Behaviors in Human-Robot Systems},
  year={2020},
  month=jul
}

Ph.D. Dissertation

  • E Bıyık
    Learning Preferences for Interactive Autonomy
    Ph.D. Dissertation, EE Department, Stanford University, May 2022
    [BibTeX] [PDF] 

    @phdthesis{biyik2022learning_thesis,
  title={Learning Preferences for Interactive Autonomy},
  author={Biyik, Erdem},
  school = {EE Department, Stanford University},
  year={2022},
  month=may
}

Preprints

  • S Katz*, A Maleki*, E Bıyık, MJ Kochenderfer (*equal contribution)
    Preference-based Learning of Reward Function Features
    arXiv preprint arXiv:2103.02727, Mar. 2021
    [BibTeX] [PDF] [Code] 

    @article{katz2021preference,
  title={Preference-based Learning of Reward Function Features},
  author={Katz, Sydney and Maleki, Amir and Biyik, Erdem and Kochenderfer, Mykel J.},
  journal={arXiv preprint arXiv:2103.02727},
  year={2021},
  month=mar
}

  • E Bıyık, K Wang, N Anari, D Sadigh
    Batch Active Learning Using Determinantal Point Processes
    arXiv preprint arXiv:1906.07975, Jun. 2019
    [BibTeX] [PDF] [Code] 

    @article{biyik2019batch,
  title={Batch Active Learning Using Determinantal Point Processes},
  author={Biyik, Erdem and Wang, Kenneth and Anari, Nima and Sadigh, Dorsa},
  journal={arXiv preprint arXiv:1906.07975},
  year={2019},
  month=jun
}