Erdem Biyik

According to our database, Erdem Biyik authored at least 67 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Value Explicit Pretraining for Learning Transferable Representations.

Kiran Lekkala, Henghui Bao, Sumedh A. Sontakke, Erdem Biyik, Laurent Itti

IEEE Robotics Autom. Lett., May, 2026

Human-Interactive Robot Learning: Definition, Challenges, and Recommendations.

Kim Baraka, Ifrah Idrees, Taylor Kessler Faulkner, Erdem Biyik, Serena Booth, Mohamed Chetouani, Daniel H. Grollman, Akanksha Saran, Emmanuel Senft, Silvia Tulli, Anna-Lisa Vollmer, Antonio Andriella, Helen Beierling, Tiffany Horter, Jens Kober, Isaac S. Sheidlower, Matthew E. Taylor, Sanne van Waveren, Xuesu Xiao

ACM Trans. Hum. Robot Interact., March, 2026

Causally Robust Reward Learning from Reason-Augmented Preference Feedback.

Minjune Hwang, Yigit Korkmaz, Daniel Seita, Erdem Biyik

CoRR, March, 2026

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons.

Anthony Liang, Yigit Korkmaz, Jiahui Zhang, Minyoung Hwang, Abrar Anwar, Sidhant Kaushik, Aditya Shah, Alex S. Huang, Luke Zettlemoyer, Dieter Fox, Yu Xiang, Anqi Li, Andreea Bobu, Abhishek Gupta, Stephen Tu, Erdem Biyik, Jesse Zhang

CoRR, March, 2026

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions.

Saleh Afroogh, Seyd Ishtiaque Ahmed, Petra Ahrweiler, David Alvarez-Melis, Mansur Maturidi Arief, Emilia Barakova, Falco J. Bargagli-Stoffi, Erdem Biyik, Hanjie Chen, Xiang 'Anthony' Chen, Robert Clements, Keeley Crockett, Amit Dhurandhar, Fethiye Irmak Dogan, Mollie Dollinger, Motahhare Eslami, Aldo A. Faisal, Arya Farahi, Melanie Fernandez Pradie, Saadia Gabrie, Diego Garcia-Olano, Marzyeh Ghassemi, Shaona Ghosh, Hatice Gunes, Ehsan Hajiramezanali, Stefan Haufe, Biwei Huang, Angel Hwang, Md Tauhidul Islam, Junfeng Jiao, Amir-Hossein Karimi, Saber Kazeminasab, Anastasia Kuzminykh, William G. La Cava, Brian Y. Lim, Xiaofeng Liu, Mohammad R. K. Mofrad, Alicia Parrish, María Pérez-Ortiz, Shriti Raj, Swabha Swayamdipta, Salmon Talebi, Kush R. Varshney, Mihaela Vorvoreanu, Lily Weng, Alice Xiang, Yiming Xu, Ding Zhao, Jieyu Zhao

CoRR, February, 2026

Judgelight: Trajectory-Level Post-Optimization for Multi-Agent Path Finding via Closed-Subwalk Collapsing.

Yimin Tang, Sven Koenig, Erdem Biyik

CoRR, January, 2026

SyncTwin: Fast Digital Twin Construction and Synchronization for Safe Robotic Grasping.

Ruopeng Huang, Boyu Yang, Wenlong Gui, Jeremy Morgan, Erdem Biyik, Jiachen Li

CoRR, January, 2026

Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback.

Rongtao Zhang, Xin Zhu, Masoume Pourebadi Khotbehsara, Warren Dao, Erdem Biyik, Heather Culbertson

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025

AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations.

Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Biyik

CoRR, November, 2025

Actor-Free Continuous Control via Structurally Maximizable Q-Functions.

Yigit Korkmaz, Urvi Bhuwania, Ayush Jain, Erdem Biyik

CoRR, October, 2025

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators.

Xinhu Li, Ayush Jain, Zhaojing Yang, Yigit Korkmaz, Erdem Biyik

CoRR, October, 2025

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies.

Jesse Zhang, Marius Memmel, Kevin Kim, Dieter Fox, Jesse Thomason, Fabio Ramos, Erdem Biyik, Abhishek Gupta, Anqi Li

CoRR, September, 2025

HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval.

Matthew Hong, Anthony Liang, Kevin Kim, Harshitha Rajaprakash, Jesse Thomason, Erdem Biyik, Jesse Zhang

CoRR, May, 2025

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations.

Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J. Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang

CoRR, May, 2025

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations.

Anthony Liang, Pavel Czempin, Matthew Hong, Yutai Zhou, Erdem Biyik, Stephen Tu

CoRR, May, 2025

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models.

Yiyang Ling, Karan Owalekar, Oluwatobiloba Adesanya, Erdem Biyik, Daniel Seita

CoRR, March, 2025

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning.

Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

MILE: Model-Based Intervention Learning.

Yigit Korkmaz, Erdem Biyik

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Multi-Agent Inverse Q-Learning from Demonstrations.

Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Efficient Robot Learning via Interaction with Humans.

Erdem Biyik

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Batch Active Learning of Reward Functions from Human Preferences.

Erdem Biyik, Nima Anari, Dorsa Sadigh

ACM Trans. Hum. Robot Interact., June, 2024

Active preference-based Gaussian process regression for reward learning and optimization.

Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Int. J. Robotics Res., 2024

NaVILA: Legged Robot Vision-Language-Action Model for Navigation.

An-Chieh Cheng, Yandong Ji, Zhaojing Yang, Xueyan Zou, Jan Kautz, Erdem Biyik, Hongxu Yin, Sifei Liu, Xiaolong Wang

CoRR, 2024

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions.

Ayush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Biyik, Joseph J. Lim

CoRR, 2024

EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data.

Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor

CoRR, 2024

DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning.

Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency.

Anthony Liang, Jesse Thomason, Erdem Biyik

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

A Generalized Acquisition Function for Preference-based Reward Learning.

Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree.

Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Trajectory Improvement and Reward Learning from Comparative Language Feedback.

Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2023

Preference Elicitation with Soft Attributes in Interactive Recommendation.

Erdem Biyik, Fan Yao, Yinlam Chow, Alex Haig, Chih-Wei Hsu, Mohammad Ghavamzadeh, Craig Boutilier

CoRR, 2023

RoboCLIP: One Demonstration is Enough to Learn Robot Policies.

Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Active Reward Learning from Online Preferences.

Vivek Myers, Erdem Biyik, Dorsa Sadigh

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences.

Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh

Int. J. Robotics Res., 2022

Learning Preferences for Interactive Autonomy.

Erdem Biyik

CoRR, 2022

Assistive Teaching of Motor Control Tasks to Humans.

Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction.

Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

APReL: A Library for Active Preference-based Reward Learning Algorithms.

Erdem Biyik, Aditi Talati, Dorsa Sadigh

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

Learning from Humans for Adaptive Interaction.

Erdem Biyik

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

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

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams.

Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy.

Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

IEEE Trans. Control. Netw. Syst., 2021

Preference-based Learning of Reward Function Features.

Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer

CoRR, 2021

Emergent Prosociality in Multi-Agent Games Through Gifting.

Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic.

Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani

Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Learning Reward Functions from Scale Feedback.

Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Learning Multimodal Rewards from Rankings.

Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.

Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh

Proceedings of the Robotics: Science and Systems XVI, 2020

Active Preference-Based Gaussian Process Regression for Reward Learning.

Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh

Proceedings of the Robotics: Science and Systems XVI, 2020

Multi-Agent Safe Planning with Gaussian Processes.

Zheqing Zhu, Erdem Biyik, Dorsa Sadigh

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

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

Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020

2019

Learning How to Dynamically Route Autonomous Vehicles on Shared Roads.

Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani

CoRR, 2019

Batch Active Learning Using Determinantal Point Processes.

Erdem Biyik, Kenneth Wang, Nima Anari, Dorsa Sadigh

CoRR, 2019

Active Learning of Reward Dynamics from Hierarchical Queries.

Chandrayee Basu, Erdem Biyik, Zhixun He, Mukesh Singhal, Dorsa Sadigh

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Asking Easy Questions: A User-Friendly Approach to Active Reward Learning.

Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

The Green Choice: Learning and Influencing Human Decisions on Shared Roads.

Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models.

Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh

Proceedings of the 2019 American Control Conference, 2019

2018

Altruistic Autonomy: Beating Congestion on Shared Roads.

Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Batch Active Preference-Based Learning of Reward Functions.

Erdem Biyik, Dorsa Sadigh

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Generalized approximate message-passing decoder for universal sparse superposition codes.

Erdem Biyik, Jean Barbier, Mohamad Dia

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos.

Huseyin Can Baykara, Erdem Biyik, Gamze Gül, Deniz Onural, Ahmet Safa Ozturk

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017