| 2025 | AAAI | Efficient Robot Learning via Interaction with Humans. | Erdem Biyik |
| 2025 | ICRA | Multi-Agent Inverse Q-Learning from Demonstrations. | Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik |
| 2025 | ICRA | MILE: Model-Based Intervention Learning. | Yigit Korkmaz, Erdem Biyik |
| 2025 | IROS | GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning. | Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik |
| 2025 | IROS | RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks. | Yimin Tang, Xiao Xiong, Jingyi Xi, Jiaoyang Li, Erdem Biyik, Sven Koenig |
| 2025 | SoCS | RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks (Extended Abstract). | Yimin Tang, Xiao Xiong, Jingyi Xi, Jiaoyang Li, Erdem Biyik, Sven Koenig |
| 2024 | CoRL | Trajectory Improvement and Reward Learning from Comparative Language Feedback. | Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik |
| 2024 | CoRL | EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. | Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor |
| 2024 | EMNLP | Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree. | Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik |
| 2024 | ICML | Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. | Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan |
| 2024 | ICML | RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. | Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson |
| 2024 | ICRA | A Generalized Acquisition Function for Preference-based Reward Learning. | Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik |
| 2024 | IROS | ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. | Anthony Liang, Jesse Thomason, Erdem Biyik |
| 2023 | ICRA | Active Reward Learning from Online Preferences. | Vivek Myers, Erdem Biyik, Dorsa Sadigh |
| 2022 | AAAI | Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. | Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh |
| 2022 | CogSci | How do people incorporate advice from artificial agents when making physical judgments? | Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan |
| 2022 | HRI | Learning from Humans for Adaptive Interaction. | Erdem Biyik |
| 2022 | HRI | APReL: A Library for Active Preference-based Reward Learning Algorithms. | Erdem Biyik, Aditi Talati, Dorsa Sadigh |
| 2022 | ICRA | Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. | Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh |
| 2021 | CoRL | Learning Multimodal Rewards from Rankings. | Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh |
| 2021 | CoRL | Learning Reward Functions from Scale Feedback. | Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith |
| 2021 | IJCAI | Emergent Prosociality in Multi-Agent Games Through Gifting. | Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2021 | ICRA | ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. | Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames |
| 2020 | HRI | When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. | Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh |
| 2020 | IROS | Multi-Agent Safe Planning with Gaussian Processes. | Zheqing Zhu, Erdem Biyik, Dorsa Sadigh |
| 2019 | CoRL | Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. | Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh |
| 2019 | IROS | Active Learning of Reward Dynamics from Hierarchical Queries. | Chandrayee Basu, Erdem Biyik, Zhixun He, Mukesh Singhal, Dorsa Sadigh |
| 2018 | CoRL | Batch Active Preference-Based Learning of Reward Functions. | Erdem Biyik, Dorsa Sadigh |
| 2018 | WAFR | Altruistic Autonomy: Beating Congestion on Shared Roads. | Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh |
| 2017 | ICTAI | Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos. | Huseyin Can Baykara, Erdem Biyik, Gamze Gl, Deniz Onural, Ahmet Safa Ozturk |
| 2017 | ISIT | Generalized approximate message-passing decoder for universal sparse superposition codes. | Erdem Biyik, Jean Barbier, Mohamad Dia |