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2001.04377
Cited By
When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans
IEEE/ACM International Conference on Human-Robot Interaction (HRI), 2020
13 January 2020
Minae Kwon
Erdem Biyik
Aditi Talati
Karan Bhasin
Dylan P. Losey
Dorsa Sadigh
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Papers citing
"When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans"
41 / 41 papers shown
Humanline: Online Alignment as Perceptual Loss
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I've Changed My Mind: Robots Adapting to Changing Human Goals during Collaboration
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Oz Gitelson
Ryan Jin
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Brian Scassellati
108
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19 Nov 2025
Mutual Adaptation in Human-Robot Co-Transportation with Human Preference Uncertainty
Al Jaber Mahmud
Weizi Li
Xuan Wang
235
1
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13 Mar 2025
MILE: Model-based Intervention Learning
IEEE International Conference on Robotics and Automation (ICRA), 2025
Yigit Korkmaz
Erdem Bıyık
398
12
0
21 Feb 2025
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao
Reid G. Simmons
H. Admoni
Aaditya Ramdas
Andrea Bajcsy
781
9
0
11 Oct 2024
Value Alignment and Trust in Human-Robot Interaction: Insights from Simulation and User Study
Shreyas Bhat
Joseph B. Lyons
Cong Shi
X. J. Yang
201
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0
28 May 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification
Prithvi Akella
Anushri Dixit
M. Ahmadi
Lars Lindemann
Margaret P. Chapman
George J. Pappas
Aaron D. Ames
J. W. Burdick
495
16
0
27 Mar 2024
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation
Manisha Natarajan
Chunyue Xue
S. V. Waveren
Karen Feigh
Matthew C. Gombolay
286
9
0
24 Mar 2024
Batch Active Learning of Reward Functions from Human Preferences
Erdem Biyik
Nima Anari
Dorsa Sadigh
408
15
0
24 Feb 2024
KTO: Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh
Winnie Xu
Niklas Muennighoff
Dan Jurafsky
Douwe Kiela
1.2K
933
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02 Feb 2024
Value Approximation for Two-Player General-Sum Differential Games with State Constraints
IEEE Transactions on robotics (TRO), 2023
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Zhenni Xu
Yi Ren
382
7
0
28 Nov 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
Artificial Intelligence Review (AIR), 2023
Olivia Macmillan-Scott
Mirco Musolesi
507
6
0
28 Nov 2023
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane
Mark K. Ho
Ilia Sucholutsky
Thomas Griffiths
CVBM
208
11
0
30 Oct 2023
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Conference on Robot Learning (CoRL), 2023
Haimin Hu
Zixu Zhang
Kensuke Nakamura
Andrea V. Bajcsy
J. F. Fisac
356
16
0
03 Sep 2023
Inverse Preference Learning: Preference-based RL without a Reward Function
Neural Information Processing Systems (NeurIPS), 2023
Joey Hejna
Dorsa Sadigh
OffRL
403
77
0
24 May 2023
Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences
IEEE Robotics and Automation Letters (RA-L), 2023
A. Suresh
Angelique Taylor
L. Riek
Sonia Martínez
151
13
0
15 Mar 2023
Revealed Multi-Objective Utility Aggregation in Human Driving
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Atrisha Sarkar
Kate Larson
Krzysztof Czarnecki
177
1
0
13 Mar 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
International Conference on Learning Representations (ICLR), 2023
Chao Yu
Jiaxuan Gao
Weiling Liu
Bo Xu
Hao Tang
Jiaqi Yang
Yu Wang
Yi Wu
336
53
0
03 Feb 2023
Few-Shot Preference Learning for Human-in-the-Loop RL
Conference on Robot Learning (CoRL), 2022
Joey Hejna
Dorsa Sadigh
OffRL
409
133
0
06 Dec 2022
RAP: Risk-Aware Prediction for Robust Planning
Conference on Robot Learning (CoRL), 2022
Haruki Nishimura
Jean Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
369
19
0
04 Oct 2022
Collaborative Decision Making Using Action Suggestions
Neural Information Processing Systems (NeurIPS), 2022
Dylan M. Asmar
Mykel J. Kochenderfer
220
5
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27 Sep 2022
Algorithmic Assistance with Recommendation-Dependent Preferences
ACM Conference on Economics and Computation (EC), 2022
Bryce Mclaughlin
Jann Spiess
517
15
0
16 Aug 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
IEEE International Conference on Robotics and Automation (ICRA), 2022
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Zhenni Xu
Yi Ren
309
7
0
05 Jul 2022
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers
IEEE International Conference on Robotics and Automation (ICRA), 2022
Rohan Chandra
Mingyu Wang
Mac Schwager
Tianyi Zhou
219
19
0
01 May 2022
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
IEEE International Conference on Robotics and Automation (ICRA), 2022
Zhangjie Cao
Erdem Biyik
Guy Rosman
Dorsa Sadigh
285
14
0
08 Mar 2022
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
Kaiqi Chen
J. Fong
Harold Soh
217
10
0
06 Mar 2022
A Ranking Game for Imitation Learning
Harshit S. Sikchi
Akanksha Saran
Wonjoon Goo
S. Niekum
OffRL
371
24
0
07 Feb 2022
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
IEEE International Conference on Robotics and Automation (ICRA), 2022
Zhangjie Cao
Zihan Wang
Dorsa Sadigh
AAML
324
10
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07 Feb 2022
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
216
11
0
12 Nov 2021
Learning Multimodal Rewards from Rankings
Conference on Robot Learning (CoRL), 2021
Vivek Myers
Erdem Biyik
Nima Anari
Dorsa Sadigh
OffRL
297
62
0
27 Sep 2021
Here's What I've Learned: Asking Questions that Reveal Reward Learning
Soheil Habibian
Ananth Jonnavittula
Dylan P. Losey
300
22
0
02 Jul 2021
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
IEEE International Conference on Robotics and Automation (ICRA), 2021
Jie Huang
Rongshun Juan
R. Gomez
Keisuke Nakamura
Q. Sha
Bo He
Guangliang Li
251
13
0
14 Apr 2021
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings
Michael Koller
T. Patten
Markus Vincze
157
0
0
12 Apr 2021
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
IEEE Robotics and Automation Letters (RA-L), 2021
Zhangjie Cao
Dorsa Sadigh
282
38
0
10 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty
IEEE International Conference on Robotics and Automation (ICRA), 2021
Richard Cheng
R. Murray
J. W. Burdick
398
10
0
05 Mar 2021
When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions
Yi Chen
Lei Zhang
Tanner Merry
Sunny Amatya
Wenlong Zhang
Yi Ren
317
9
0
03 Nov 2020
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
Ran Tian
Liting Sun
Masayoshi Tomizuka
562
2
0
03 Sep 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
307
72
0
01 Jul 2020
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
406
140
0
24 Jun 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
327
20
0
20 Jun 2020
Interpretable Goal-based Prediction and Planning for Autonomous Driving
Stefano V. Albrecht
Cillian Brewitt
John Wilhelm
Bálint Gyevnár
Francisco Eiras
M. Dobre
S. Ramamoorthy
300
4
0
06 Feb 2020
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