Reward (Mis)design for Autonomous Driving

28 April 2021

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

20 / 20 papers shown

Title
Balancing Progress and Safety: A Novel Risk-Aware Objective for RL in Autonomous Driving Ahmed Abouelazm Jonas Michel Helen Gremmelmaier Tim Joseph Philip Schorner Johann Marius Zöllner 26 0 0 10 May 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger D. Dauner Jens Beißwenger Simon Gerstenecker Kashyap Chitta Andreas Geiger 54 0 0 24 Apr 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 38 1 0 04 Mar 2025
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies Jiajie Yu Yuhong Wang Wei Ma OffRL 34 1 0 14 Oct 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis V. Cevher 30 3 0 03 May 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 69 6 0 18 Mar 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 22 27 0 06 Jan 2024
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 25 6 0 04 Dec 2023
Reward Design with Language Models Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh LM&Ro 25 200 0 27 Feb 2023
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 24 92 0 21 Dec 2022
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 35 58 0 18 Oct 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans John J. Nay ELM AILaw 88 27 0 14 Sep 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 27 4 0 09 Aug 2022
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning David Lindner Mennatallah El-Assady OffRL 25 16 0 27 Jun 2022
How to talk so AI will learn: Instructions, descriptions, and autonomy T. Sumers Robert D. Hawkins Mark K. Ho Thomas L. Griffiths Dylan Hadfield-Menell LM&Ro 28 20 0 16 Jun 2022
Receding Horizon Inverse Reinforcement Learning Yiqing Xu Wei Gao David Hsu 14 14 0 09 Jun 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 39 168 0 10 Jan 2022
UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning Christopher P. Diehl Timo Sievernich Martin Krüger F. Hoffmann Torsten Bertram OffRL 16 25 0 22 Nov 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 82 147 0 06 Jan 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,630 0 02 Feb 2020