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ORCIDErdem Biyik
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2020 – today
- 2023
[i27]Vivek Myers, Erdem Biyik, Dorsa Sadigh:
Active Reward Learning from Online Preferences. CoRR abs/2302.13507 (2023)- 2022
- [j2]Erdem Biyik
, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh:
Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences. Int. J. Robotics Res. 41(1): 45-67 (2022) - [c22]Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. AAAI 2022: 9296-9303 - [c21]Erdem Biyik, Aditi Talati, Dorsa Sadigh:
APReL: A Library for Active Preference-based Reward Learning Algorithms. HRI 2022: 613-617 - [c20]Erdem Biyik:
Learning from Humans for Adaptive Interaction. HRI 2022: 1152-1154 - [c19]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. ICRA 2022: 10723-10730 - [c18]Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh:
Assistive Teaching of Motor Control Tasks to Humans. NeurIPS 2022 - [i26]Zhangjie Cao, Erdem Biyik, Guy Rosman, Dorsa Sadigh:
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction. CoRR abs/2203.04421 (2022) - [i25]Erik Brockbank, Haoliang Wang, Justin Yang, Suvir Mirchandani, Erdem Biyik, Dorsa Sadigh, Judith E. Fan:
How do people incorporate advice from artificial agents when making physical judgments? CoRR abs/2205.11613 (2022) - [i24]Erdem Biyik:
Learning Preferences for Interactive Autonomy. CoRR abs/2210.10899 (2022) - [i23]Megha Srivastava, Erdem Biyik, Suvir Mirchandani, Noah D. Goodman, Dorsa Sadigh:
Assistive Teaching of Motor Control Tasks to Humans. CoRR abs/2211.14003 (2022) - 2021
- [j1]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks With Mixed Autonomy. IEEE Trans. Control. Netw. Syst. 8(4): 1717-1729 (2021) - [c17]Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh:
Learning Multimodal Rewards from Rankings. CoRL 2021: 342-352 - [c16]Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. CoRL 2021: 353-362 - [c15]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing routing choices for safe and efficient transportation in the face of the COVID-19 pandemic. ICCPS 2021: 187-197 - [c14]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. ICRA 2021: 3212-3218 - [c13]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. IJCAI 2021: 434-442 - [i22]Sydney M. Katz, Amir Maleki, Erdem Biyik, Mykel J. Kochenderfer:
Preference-based Learning of Reward Function Features. CoRR abs/2103.02727 (2021) - [i21]Woodrow Z. Wang, Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Emergent Prosociality in Multi-Agent Games Through Gifting. CoRR abs/2105.06593 (2021) - [i20]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Incentivizing Efficient Equilibria in Traffic Networks with Mixed Autonomy. CoRR abs/2106.04678 (2021) - [i19]Erdem Biyik, Aditi Talati, Dorsa Sadigh:
APReL: A Library for Active Preference-based Reward Learning Algorithms. CoRR abs/2108.07259 (2021) - [i18]Vivek Myers, Erdem Biyik, Nima Anari, Dorsa Sadigh:
Learning Multimodal Rewards from Rankings. CoRR abs/2109.12750 (2021) - [i17]Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. CoRR abs/2110.00284 (2021) - [i16]Erdem Biyik, Anusha Lalitha, Rajarshi Saha, Andrea Goldsmith, Dorsa Sadigh:
Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams. CoRR abs/2110.00751 (2021) - 2020
- [c12]Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh:
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. HRI 2020: 43-52 - [c11]Zheqing Zhu, Erdem Biyik, Dorsa Sadigh:
Multi-Agent Safe Planning with Gaussian Processes. IROS 2020: 6260-6267 - [c10]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. Robotics: Science and Systems 2020 - [c9]Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems 2020 - [i15]Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh:
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans. CoRR abs/2001.04377 (2020) - [i14]Erdem Biyik, Nicolas Huynh, Mykel J. Kochenderfer, Dorsa Sadigh:
Active Preference-Based Gaussian Process Regression for Reward Learning. CoRR abs/2005.02575 (2020) - [i13]Erdem Biyik, Dylan P. Losey, Malayandi Palan, Nicholas C. Landolfi, Gleb Shevchuk, Dorsa Sadigh:
Learning Reward Functions from Diverse Sources of Human Feedback: Optimally Integrating Demonstrations and Preferences. CoRR abs/2006.14091 (2020) - [i12]Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh:
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR abs/2007.00178 (2020) - [i11]Zheqing Zhu, Erdem Biyik, Dorsa Sadigh:
Multi-Agent Safe Planning with Gaussian Processes. CoRR abs/2008.04452 (2020) - [i10]Kejun Li, Maegan Tucker, Erdem Biyik, Ellen R. Novoseller, Joel W. Burdick, Yanan Sui, Dorsa Sadigh, Yisong Yue, Aaron D. Ames:
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes. CoRR abs/2011.04812 (2020) - [i9]Mark Beliaev, Erdem Biyik, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani:
Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic. CoRR abs/2012.15749 (2020)
2010 – 2019
- 2019
- [c8]Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh:
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. ACC 2019: 1792-1799 - [c7]Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CDC 2019: 347-354 - [c6]Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh:
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. CoRL 2019: 1177-1190 - [c5]Chandrayee Basu, Erdem Biyik, Zhixun He, Mukesh Singhal, Dorsa Sadigh:
Active Learning of Reward Dynamics from Hierarchical Queries. IROS 2019: 120-127 - [i8]Erdem Biyik, Jonathan Margoliash, Shahrouz Ryan Alimo, Dorsa Sadigh:
Efficient and Safe Exploration in Deterministic Markov Decision Processes with Unknown Transition Models. CoRR abs/1904.01068 (2019) - [i7]Erdem Biyik, Daniel A. Lazar, Dorsa Sadigh, Ramtin Pedarsani:
The Green Choice: Learning and Influencing Human Decisions on Shared Roads. CoRR abs/1904.02209 (2019) - [i6]Erdem Biyik, Kenneth Wang, Nima Anari, Dorsa Sadigh:
Batch Active Learning Using Determinantal Point Processes. CoRR abs/1906.07975 (2019) - [i5]Daniel A. Lazar, Erdem Biyik, Dorsa Sadigh, Ramtin Pedarsani:
Learning How to Dynamically Route Autonomous Vehicles on Shared Roads. CoRR abs/1909.03664 (2019) - [i4]Erdem Biyik, Malayandi Palan, Nicholas C. Landolfi, Dylan P. Losey, Dorsa Sadigh:
Asking Easy Questions: A User-Friendly Approach to Active Reward Learning. CoRR abs/1910.04365 (2019) - 2018
- [c4]Erdem Biyik, Dorsa Sadigh:
Batch Active Preference-Based Learning of Reward Functions. CoRL 2018: 519-528 - [c3]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Altruistic Autonomy: Beating Congestion on Shared Roads. WAFR 2018: 887-904 - [i3]Erdem Biyik, Dorsa Sadigh:
Batch Active Preference-Based Learning of Reward Functions. CoRR abs/1810.04303 (2018) - [i2]Erdem Biyik, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh:
Altruistic Autonomy: Beating Congestion on Shared Roads. CoRR abs/1810.11978 (2018) - 2017
- [c2]Huseyin Can Baykara, Erdem Biyik, Gamze Gul, Deniz Onural, Ahmet Safa Ozturk:
Real-Time Detection, Tracking and Classification of Multiple Moving Objects in UAV Videos. ICTAI 2017: 945-950 - [c1]Erdem Biyik, Jean Barbier, Mohamad Dia:
Generalized approximate message-passing decoder for universal sparse superposition codes. ISIT 2017: 1593-1597 - [i1]Erdem Biyik, Jean Barbier, Mohamad Dia:
Generalized Approximate Message-Passing Decoder for Universal Sparse Superposition Codes. CoRR abs/1701.03590 (2017)
Coauthor Index
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last updated on 2023-05-13 04:04 CEST by the dblp team
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