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When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware
  Humans

When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans

13 January 2020
Minae Kwon
Erdem Biyik
Aditi Talati
Karan Bhasin
Dylan P. Losey
Dorsa Sadigh
ArXivPDFHTML

Papers citing "When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans"

40 / 40 papers shown
Title
Mutual Adaptation in Human-Robot Co-Transportation with Human Preference Uncertainty
Al Jaber Mahmud
Weizi Li
Xuan Wang
53
0
0
13 Mar 2025
MILE: Model-based Intervention Learning
MILE: Model-based Intervention Learning
Yigit Korkmaz
Erdem Bıyık
83
1
0
21 Feb 2025
Consensus Building in Human-robot Co-learning via Bias Controlled Nonlinear Opinion Dynamics and Non-verbal Communication through Robotic Eyes
Consensus Building in Human-robot Co-learning via Bias Controlled Nonlinear Opinion Dynamics and Non-verbal Communication through Robotic Eyes
Rajul Kumar
Adam Bhatti
Ningshi Yao
30
0
0
06 Nov 2024
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle Zhao
Reid G. Simmons
H. Admoni
Aaditya Ramdas
Andrea Bajcsy
41
4
0
11 Oct 2024
Value Alignment and Trust in Human-Robot Interaction: Insights from
  Simulation and User Study
Value Alignment and Trust in Human-Robot Interaction: Insights from Simulation and User Study
Shreyas Bhat
Joseph B. Lyons
Cong Shi
X. J. Yang
16
1
0
28 May 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and
  Verification
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
32
5
0
27 Mar 2024
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online
  Bayesian Adaptation
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation
Manisha Natarajan
Chunyue Xue
S. V. Waveren
Karen Feigh
Matthew C. Gombolay
14
1
0
24 Mar 2024
Batch Active Learning of Reward Functions from Human Preferences
Batch Active Learning of Reward Functions from Human Preferences
Erdem Biyik
Nima Anari
Dorsa Sadigh
27
6
0
24 Feb 2024
KTO: Model Alignment as Prospect Theoretic Optimization
KTO: Model Alignment as Prospect Theoretic Optimization
Kawin Ethayarajh
Winnie Xu
Niklas Muennighoff
Dan Jurafsky
Douwe Kiela
159
444
0
02 Feb 2024
Value Approximation for Two-Player General-Sum Differential Games with
  State Constraints
Value Approximation for Two-Player General-Sum Differential Games with State Constraints
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Zhenni Xu
Yi Ren
16
4
0
28 Nov 2023
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
(Ir)rationality in AI: State of the Art, Research Challenges and Open Questions
Olivia Macmillan-Scott
Mirco Musolesi
32
1
0
28 Nov 2023
Concept Alignment as a Prerequisite for Value Alignment
Concept Alignment as a Prerequisite for Value Alignment
Sunayana Rane
Mark K. Ho
Ilia Sucholutsky
Thomas L. Griffiths
CVBM
9
6
0
30 Oct 2023
Deception Game: Closing the Safety-Learning Loop in Interactive Robot
  Autonomy
Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy
Haimin Hu
Zixu Zhang
Kensuke Nakamura
Andrea V. Bajcsy
J. F. Fisac
22
12
0
03 Sep 2023
Inverse Preference Learning: Preference-based RL without a Reward
  Function
Inverse Preference Learning: Preference-based RL without a Reward Function
Joey Hejna
Dorsa Sadigh
OffRL
24
48
0
24 May 2023
Robot Navigation in Risky, Crowded Environments: Understanding Human
  Preferences
Robot Navigation in Risky, Crowded Environments: Understanding Human Preferences
A. Suresh
Angelique Taylor
L. Riek
Sonia Martínez
13
7
0
15 Mar 2023
Revealed Multi-Objective Utility Aggregation in Human Driving
Revealed Multi-Objective Utility Aggregation in Human Driving
Atrisha Sarkar
Kate Larson
Krzysztof Czarnecki
16
0
0
13 Mar 2023
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased
Chao Yu
Jiaxuan Gao
Weiling Liu
Bo Xu
Hao Tang
Jiaqi Yang
Yu Wang
Yi Wu
16
38
0
03 Feb 2023
Few-Shot Preference Learning for Human-in-the-Loop RL
Few-Shot Preference Learning for Human-in-the-Loop RL
Joey Hejna
Dorsa Sadigh
OffRL
13
90
0
06 Dec 2022
RAP: Risk-Aware Prediction for Robust Planning
RAP: Risk-Aware Prediction for Robust Planning
Haruki Nishimura
Jean-Pierre Mercat
Blake Wulfe
R. McAllister
Adrien Gaidon
OOD
33
17
0
04 Oct 2022
Collaborative Decision Making Using Action Suggestions
Collaborative Decision Making Using Action Suggestions
Dylan M. Asmar
Mykel J. Kochenderfer
19
2
0
27 Sep 2022
Algorithmic Assistance with Recommendation-Dependent Preferences
Algorithmic Assistance with Recommendation-Dependent Preferences
Bryce Mclaughlin
Jann Spiess
15
9
0
16 Aug 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player
  General-Sum Differential Games
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Zhenni Xu
Yi Ren
14
7
0
05 Jul 2022
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human
  Drivers
Game-Theoretic Planning for Autonomous Driving among Risk-Aware Human Drivers
Rohan Chandra
Mingyu Wang
Mac Schwager
Dinesh Manocha
15
10
0
01 May 2022
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Zhangjie Cao
Erdem Biyik
Guy Rosman
Dorsa Sadigh
32
11
0
08 Mar 2022
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot
  Communication
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
Kaiqi Chen
J. Fong
Harold Soh
19
10
0
06 Mar 2022
A Ranking Game for Imitation Learning
A Ranking Game for Imitation Learning
Harshit S. Sikchi
Akanksha Saran
Wonjoon Goo
S. Niekum
OffRL
17
22
0
07 Feb 2022
Learning from Imperfect Demonstrations via Adversarial Confidence
  Transfer
Learning from Imperfect Demonstrations via Adversarial Confidence Transfer
Zhangjie Cao
Zihan Wang
Dorsa Sadigh
AAML
19
7
0
07 Feb 2022
Visual Intelligence through Human Interaction
Visual Intelligence through Human Interaction
Ranjay Krishna
Mitchell L. Gordon
Fei-Fei Li
Michael S. Bernstein
19
8
0
12 Nov 2021
Learning Multimodal Rewards from Rankings
Learning Multimodal Rewards from Rankings
Vivek Myers
Erdem Biyik
Nima Anari
Dorsa Sadigh
OffRL
24
48
0
27 Sep 2021
Here's What I've Learned: Asking Questions that Reveal Reward Learning
Here's What I've Learned: Asking Questions that Reveal Reward Learning
Soheil Habibian
Ananth Jonnavittula
Dylan P. Losey
16
20
0
02 Jul 2021
GAN-Based Interactive Reinforcement Learning from Demonstration and
  Human Evaluative Feedback
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang
Rongshun Juan
R. Gomez
Keisuke Nakamura
Q. Sha
Bo He
Guangliang Li
19
10
0
14 Apr 2021
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit
  Settings
Risk-Averse Biased Human Policies in Assistive Multi-Armed Bandit Settings
Michael Koller
T. Patten
Markus Vincze
29
0
0
12 Apr 2021
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
Learning from Imperfect Demonstrations from Agents with Varying Dynamics
Zhangjie Cao
Dorsa Sadigh
8
29
0
10 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human
  Uncertainty
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty
Richard Cheng
R. Murray
J. W. Burdick
26
6
0
05 Mar 2021
When Shall I Be Empathetic? The Utility of Empathetic Parameter
  Estimation in Multi-Agent Interactions
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
9
7
0
03 Nov 2020
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse
  Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory
Ran Tian
Liting Sun
M. Tomizuka
19
2
0
03 Sep 2020
Reinforcement Learning based Control of Imitative Policies for
  Near-Accident Driving
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
18
65
0
01 Jul 2020
Learning Reward Functions from Diverse Sources of Human Feedback:
  Optimally Integrating Demonstrations and Preferences
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
16
112
0
24 Jun 2020
Accelerating Safe Reinforcement Learning with Constraint-mismatched
  Policies
Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies
Tsung-Yen Yang
Justinian P. Rosca
Karthik Narasimhan
Peter J. Ramadge
13
18
0
20 Jun 2020
Interpretable Goal-based Prediction and Planning for Autonomous Driving
Interpretable Goal-based Prediction and Planning for Autonomous Driving
Stefano V. Albrecht
Cillian Brewitt
John Wilhelm
Balint Gyevnar
Francisco Eiras
M. Dobre
S. Ramamoorthy
13
4
0
06 Feb 2020
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