Erdem Biyik - RankMe

103 papers A* 18A 5B 3C 2Misc 6Journal 65Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions. CoRR 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
2026	J	`jnl`	Causally Robust Reward Learning from Reason-Augmented Preference Feedback. CoRR Minjune Hwang, Yigit Korkmaz, Daniel Seita, Erdem Biyik
2026	J	`jnl`	Human-Interactive Robot Learning: Definition, Challenges, and Recommendations. ACM Trans. Hum. Robot Interact. 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
2026	J	`jnl`	Judgelight: Trajectory-Level Post-Optimization for Multi-Agent Path Finding via Closed-Subwalk Collapsing. CoRR Yimin Tang, Sven Koenig, Erdem Biyik
2026	J	`jnl`	Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons. CoRR 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
2026	J	`jnl`	SyncTwin: Fast Digital Twin Construction and Synchronization for Safe Robotic Grasping. CoRR Ruopeng Huang, Boyu Yang, Wenlong Gui, Jeremy Morgan, Erdem Biyik, Jiachen Li
2026	J	`jnl`	Value Explicit Pretraining for Learning Transferable Representations. IEEE Robotics Autom. Lett. Kiran Lekkala, Henghui Bao, Sumedh A. Sontakke, Erdem Biyik, Laurent Itti
2025	J	`jnl`	Actor-Free Continuous Control via Structurally Maximizable Q-Functions. CoRR Yigit Korkmaz, Urvi Bhuwania, Ayush Jain, Erdem Biyik
2025	J	`jnl`	AutoFocus-IL: VLM-based Saliency Maps for Data-Efficient Visual Imitation Learning without Extra Human Annotations. CoRR Litian Gong, Fatemeh Bahrani, Yutai Zhou, Amin Banayeeanzade, Jiachen Li, Erdem Biyik
2025	J	`jnl`	CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations. CoRR Anthony Liang, Pavel Czempin, Matthew Hong, Yutai Zhou, Erdem Biyik, Stephen Tu
2025	A*	`conf`	Efficient Robot Learning via Interaction with Humans. AAAI Erdem Biyik
2025	A	`conf`	GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning. IROS Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik
2025	J	`jnl`	GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning. CoRR Amin Banayeeanzade, Fatemeh Bahrani, Yutai Zhou, Erdem Biyik
2025	J	`jnl`	HAND Me the Data: Fast Robot Adaptation via Hand Path Retrieval. CoRR Matthew Hong, Anthony Liang, Kevin Kim, Harshitha Rajaprakash, Jesse Thomason, Erdem Biyik, Jesse Zhang
2025	J	`jnl`	IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models. CoRR Yiyang Ling, Karan Owalekar, Oluwatobiloba Adesanya, Erdem Biyik, Daniel Seita
2025	A*	`conf`	MILE: Model-Based Intervention Learning. ICRA Yigit Korkmaz, Erdem Biyik
2025	J	`jnl`	MILE: Model-based Intervention Learning. CoRR Yigit Korkmaz, Erdem Biyik
2025	A*	`conf`	Multi-Agent Inverse Q-Learning from Demonstrations. ICRA Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik
2025	J	`jnl`	Multi-Agent Inverse Q-Learning from Demonstrations. CoRR Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Biyik
2025	J	`jnl`	PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies. CoRR Jesse Zhang, Marius Memmel, Kevin Kim, Dieter Fox, Jesse Thomason, Fabio Ramos, Erdem Biyik, Abhishek Gupta, Anqi Li
2025	A	`conf`	RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks. IROS Yimin Tang, Xiao Xiong, Jingyi Xi, Jiaoyang Li, Erdem Biyik, Sven Koenig
2025	J	`jnl`	RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks. CoRR Yimin Tang, Xiao Xiong, Jingyi Xi, Jiaoyang Li, Erdem Biyik, Sven Koenig
2025	J	`jnl`	ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations. CoRR Jiahui Zhang, Yusen Luo, Abrar Anwar, Sumedh Anand Sontakke, Joseph J. Lim, Jesse Thomason, Erdem Biyik, Jesse Zhang
2025	J	`jnl`	When a Robot is More Capable than a Human: Learning from Constrained Demonstrators. CoRR Xinhu Li, Ayush Jain, Zhaojing Yang, Yigit Korkmaz, Erdem Biyik
2024	A*	`conf`	A Generalized Acquisition Function for Preference-based Reward Learning. ICRA Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	J	`jnl`	A Generalized Acquisition Function for Preference-based Reward Learning. CoRR Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	A*	`conf`	Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree. EMNLP Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik
2024	J	`jnl`	Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree. CoRR Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik
2024	J	`jnl`	Active preference-based Gaussian process regression for reward learning and optimization. Int. J. Robotics Res. Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2024	J	`jnl`	Batch Active Learning of Reward Functions from Human Preferences. CoRR Erdem Biyik, Nima Anari, Dorsa Sadigh
2024	J	`jnl`	Batch Active Learning of Reward Functions from Human Preferences. ACM Trans. Hum. Robot Interact. Erdem Biyik, Nima Anari, Dorsa Sadigh
2024	A*	`conf`	Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. ICML Michelle Pan, Mariah L. Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024	J	`jnl`	Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation. CoRR Michelle Pan, Mariah Schrum, Vivek Myers, Erdem Biyik, Anca D. Dragan
2024	A*	`conf`	DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. NeurIPS Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier
2024	J	`jnl`	DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning. CoRR Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier
2024	Misc	`conf`	EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data. CoRL Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024	J	`jnl`	EXTRACT: Efficient Policy Learning by Extracting Transferrable Robot Skills from Offline Data. CoRR Jesse Zhang, Minho Heo, Zuxin Liu, Erdem Biyik, Joseph J. Lim, Yao Liu, Rasool Fakoor
2024	J	`jnl`	Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions. CoRR Ayush Jain, Norio Kosaka, Xinhu Li, Kyung-Min Kim, Erdem Biyik, Joseph J. Lim
2024	J	`jnl`	NaVILA: Legged Robot Vision-Language-Action Model for Navigation. CoRR An-Chieh Cheng, Yandong Ji, Zhaojing Yang, Xueyan Zou, Jan Kautz, Erdem Biyik, Hongxu Yin, Sifei Liu, Xiaolong Wang
2024	A*	`conf`	RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. ICML Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
2024	J	`jnl`	RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback. CoRR Yufei Wang, Zhanyi Sun, Jesse Zhang, Zhou Xian, Erdem Biyik, David Held, Zackory Erickson
2024	Misc	`conf`	Trajectory Improvement and Reward Learning from Comparative Language Feedback. CoRL Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart Russell, Anca D. Dragan, Erdem Biyik
2024	J	`jnl`	Trajectory Improvement and Reward Learning from Comparative Language Feedback. CoRR Zhaojing Yang, Miru Jun, Jeremy Tien, Stuart J. Russell, Anca D. Dragan, Erdem Biyik
2024	A	`conf`	ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. IROS Anthony Liang, Jesse Thomason, Erdem Biyik
2024	J	`jnl`	ViSaRL: Visual Reinforcement Learning Guided by Human Saliency. CoRR Anthony Liang, Jesse Thomason, Erdem Biyik
2023	A*	`conf`	Active Reward Learning from Online Preferences. ICRA Vivek Myers, Erdem Biyik, Dorsa Sadigh
2023	J	`jnl`	Active Reward Learning from Online Preferences. CoRR Vivek Myers, Erdem Biyik, Dorsa Sadigh
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR 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
2023	J	`jnl`	Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 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
2023	J	`jnl`	Preference Elicitation with Soft Attributes in Interactive Recommendation. CoRR Erdem Biyik, Fan Yao, Yinlam Chow, Alex Haig, Chih-Wei Hsu, Mohammad Ghavamzadeh, Craig Boutilier
2023	A*	`conf`	RoboCLIP: One Demonstration is Enough to Learn Robot Policies. NeurIPS Sumedh Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
2023	J	`jnl`	RoboCLIP: One Demonstration is Enough to Learn Robot Policies. CoRR Sumedh A. Sontakke, Jesse Zhang, Sébastien M. R. Arnold, Karl Pertsch, Erdem Biyik, Dorsa Sadigh, Chelsea Finn, Laurent Itti
2022	A*	`conf`	APReL: A Library for Active Preference-based Reward Learning Algorithms. HRI Erdem Biyik, Aditi Talati, Dorsa Sadigh
2022	A*	`conf`	Assistive Teaching of Motor Control Tasks to Humans. NeurIPS Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh
2022	J	`jnl`	Assistive Teaching of Motor Control Tasks to Humans. CoRR Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh
2022	B	`conf`	How do people incorporate advice from artificial agents when making physical judgments? CogSci Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan
2022	J	`jnl`	How do people incorporate advice from artificial agents when making physical judgments? CoRR Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan
2022	J	`jnl`	Learning Preferences for Interactive Autonomy. CoRR Erdem Biyik
2022	A*	`conf`	Learning from Humans for Adaptive Interaction. HRI Erdem Biyik
2022	J	`jnl`	Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences. Int. J. Robotics Res. Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh
2022	A*	`conf`	Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
2022	J	`jnl`	Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh
2022	A*	`conf`	Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. AAAI Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh
2021	J	`jnl`	APReL: A Library for Active Preference-based Reward Learning Algorithms. CoRR Erdem Biyik, Aditi Talati, Dorsa Sadigh
2021	A*	`conf`	Emergent Prosociality in Multi-Agent Games Through Gifting. IJCAI Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	J	`jnl`	Emergent Prosociality in Multi-Agent Games Through Gifting. CoRR Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	J	`jnl`	Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. IEEE Trans. Control. Netw. Syst. Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	J	`jnl`	Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy. CoRR Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2021	—	`conf`	Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. ICCPS Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani
2021	Misc	`conf`	Learning Multimodal Rewards from Rankings. CoRL Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh
2021	J	`jnl`	Learning Multimodal Rewards from Rankings. CoRR Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh
2021	Misc	`conf`	Learning Reward Functions from Scale Feedback. CoRL Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
2021	J	`jnl`	Learning Reward Functions from Scale Feedback. CoRR Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
2021	J	`jnl`	Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. CoRR Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh
2021	J	`jnl`	Preference-based Learning of Reward Function Features. CoRR Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer
2021	A*	`conf`	ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames
2020	—	`conf`	Active Preference-Based Gaussian Process Regression for Reward Learning. Robotics: Science and Systems Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2020	J	`jnl`	Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh
2020	J	`jnl`	Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. CoRR Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani
2020	J	`jnl`	Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences. CoRR Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh
2020	A	`conf`	Multi-Agent Safe Planning with Gaussian Processes. IROS Zheqing Zhu, Erdem Biyik, Dorsa Sadigh
2020	J	`jnl`	Multi-Agent Safe Planning with Gaussian Processes. CoRR Zheqing Zhu, Erdem Biyik, Dorsa Sadigh
2020	J	`jnl`	ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames
2020	—	`conf`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	J	`jnl`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	A*	`conf`	When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. HRI Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh
2020	J	`jnl`	When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. CoRR Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh
2019	A	`conf`	Active Learning of Reward Dynamics from Hierarchical Queries. IROS Chandrayee Basu, Erdem Biyik, Zhixun He, Mukesh Singhal, Dorsa Sadigh
2019	Misc	`conf`	Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. CoRL Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh
2019	J	`jnl`	Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. CoRR Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh
2019	J	`jnl`	Batch Active Learning Using Determinantal Point Processes. CoRR Erdem Biyik, Kenneth Wang, Nima Anari, Dorsa Sadigh
2019	C	`conf`	Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. ACC Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh
2019	J	`jnl`	Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. CoRR Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh
2019	J	`jnl`	Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. CoRR Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani
2019	—	`conf`	The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CDC Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani
2019	J	`jnl`	The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CoRR Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani
2018	C	`conf`	Altruistic Autonomy: Beating Congestion on Shared Roads. WAFR Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2018	J	`jnl`	Altruistic Autonomy: Beating Congestion on Shared Roads. CoRR Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh
2018	Misc	`conf`	Batch Active Preference-Based Learning of Reward Functions. CoRL Erdem Biyik, Dorsa Sadigh
2018	J	`jnl`	Batch Active Preference-Based Learning of Reward Functions. CoRR Erdem Biyik, Dorsa Sadigh
2017	J	`jnl`	Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes. CoRR Erdem Biyik, Jean Barbier, Mohamad Dia
2017	B	`conf`	Generalized approximate message-passing decoder for universal sparse superposition codes. ISIT Erdem Biyik, Jean Barbier, Mohamad Dia
2017	B	`conf`	Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos. ICTAI Huseyin Can Baykara, Erdem Biyik, Gamze Gül, Deniz Onural, Ahmet Safa Ozturk