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Reward (Mis)design for Autonomous Driving
v1v2 (latest)

Reward (Mis)design for Autonomous Driving

28 April 2021
W. B. Knox
A. Allievi
Holger Banzhaf
Felix Schmitt
Peter Stone
ArXiv (abs)PDFHTML

Papers citing "Reward (Mis)design for Autonomous Driving"

23 / 73 papers shown
Title
On a Connection between Differential Games, Optimal Control, and
  Energy-based Models for Multi-Agent Interactions
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Torsten Bertram
AI4CE
151
5
0
31 Aug 2023
End-to-end Autonomous Driving: Challenges and Frontiers
End-to-end Autonomous Driving: Challenges and Frontiers
Li Chen
Peng Wu
Kashyap Chitta
Bernhard Jaeger
Andreas Geiger
Xinyue Cai
3DV
256
402
0
29 Jun 2023
Learning Safety Constraints from Demonstrations with Unknown Rewards
Learning Safety Constraints from Demonstrations with Unknown Rewards
David Lindner
Xin Chen
Sebastian Tschiatschek
Katja Hofmann
Andreas Krause
126
18
0
25 May 2023
Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal,
  Social Human Navigation Dataset
Toward Human-Like Social Robot Navigation: A Large-Scale, Multi-Modal, Social Human Navigation Dataset
Duc M. Nguyen
Mohammad Nazeri
Amirreza Payandeh
A. Datar
Xuesu Xiao
177
39
0
27 Mar 2023
Reward Design with Language Models
Reward Design with Language Models
Minae Kwon
Sang Michael Xie
Kalesha Bullard
Dorsa Sadigh
LM&Ro
190
246
0
27 Feb 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement
  Learning for Challenging Driving Scenarios
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu
Justin Fu
George Tucker
Xinlei Pan
Eli Bronstein
...
Brandyn White
Aleksandra Faust
Shimon Whiteson
Drago Anguelov
Sergey Levine
OffRL
137
115
0
21 Dec 2022
Differentiable Constrained Imitation Learning for Robot Motion Planning
  and Control
Differentiable Constrained Imitation Learning for Robot Motion Planning and Control
Christopher P. Diehl
Janis Adamek
Martin Krüger
F. Hoffmann
Torsten Bertram
122
4
0
21 Oct 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
117
63
0
18 Oct 2022
Identifiability and generalizability from multiple experts in Inverse
  Reinforcement Learning
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning
Paul Rolland
Luca Viano
Norman Schuerhoff
Boris Nikolov
Volkan Cevher
OffRL
116
17
0
22 Sep 2022
Proximal Point Imitation Learning
Proximal Point Imitation Learning
Luca Viano
Angeliki Kamoutsi
Gergely Neu
Igor Krawczuk
Volkan Cevher
208
19
0
22 Sep 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial
  Intelligence with Humans
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J. Nay
ELMAILaw
400
29
0
14 Sep 2022
Exploring the trade off between human driving imitation and safety for
  traffic simulation
Exploring the trade off between human driving imitation and safety for traffic simulation
Yann Koeberle
S. Sabatini
D. Tsishkou
C. Sabourin
67
5
0
09 Aug 2022
Humans are not Boltzmann Distributions: Challenges and Opportunities for
  Modelling Human Feedback and Interaction in Reinforcement Learning
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning
David Lindner
Mennatallah El-Assady
OffRL
105
19
0
27 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy
How to talk so AI will learn: Instructions, descriptions, and autonomy
T. Sumers
Robert D. Hawkins
Mark K. Ho
Thomas Griffiths
Dylan Hadfield-Menell
LM&Ro
178
24
0
16 Jun 2022
Receding Horizon Inverse Reinforcement Learning
Receding Horizon Inverse Reinforcement Learning
Yiqing Xu
Wei Gao
David Hsu
113
14
0
09 Jun 2022
Models of human preference for learning reward functions
Models of human preference for learning reward functions
W. B. Knox
Stephane Hatgis-Kessell
Serena Booth
S. Niekum
Peter Stone
A. Allievi
182
54
0
05 Jun 2022
Dynamics-Aware Comparison of Learned Reward Functions
Dynamics-Aware Comparison of Learned Reward Functions
Blake Wulfe
Ashwin Balakrishna
Logan Ellis
Jean Mercat
R. McAllister
Adrien Gaidon
60
15
0
25 Jan 2022
The Effects of Reward Misspecification: Mapping and Mitigating
  Misaligned Models
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Alexander Pan
Kush S. Bhatia
Jacob Steinhardt
184
204
0
10 Jan 2022
Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
213
161
0
21 Dec 2021
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning
  Leveraging Planning
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning
Christopher P. Diehl
Timo Sievernich
Martin Krüger
F. Hoffmann
Torsten Bertram
OffRL
171
28
0
22 Nov 2021
Adversarial Intrinsic Motivation for Reinforcement Learning
Adversarial Intrinsic Motivation for Reinforcement Learning
Ishan Durugkar
Mauricio Tec
S. Niekum
Peter Stone
OOD
236
43
0
27 May 2021
APPL: Adaptive Planner Parameter Learning
APPL: Adaptive Planner Parameter Learning
Xuesu Xiao
Zizhao Wang
Zifan Xu
Bo Liu
Garrett A. Warnell
Gauraang Dhamankar
Anirudh Nair
Peter Stone
130
54
0
17 May 2021
End-to-End Model-Free Reinforcement Learning for Urban Driving using
  Implicit Affordances
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances
Marin Toromanoff
É. Wirbel
Fabien Moutarde
OffRL
271
220
0
25 Nov 2019
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