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Reward (Mis)design for Autonomous Driving

28 April 2021

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

50 / 72 papers shown

Title
Reward Models in Deep Reinforcement Learning: A Survey Rui Yu Shenghua Wan Yucen Wang Chen-Xiao Gao Le Gan Zongzhang Zhang De-Chuan Zhan OffRL 74 1 0 18 Jun 2025
ROAD: Responsibility-Oriented Reward Design for Reinforcement Learning in Autonomous Driving Yongming Chen Miner Chen Liewen Liao Mingyang Jiang Xiang Zuo Hengrui Zhang Yuchen Xi Songan Zhang 98 0 0 30 May 2025
RoboMoRe: LLM-based Robot Co-design via Joint Optimization of Morphology and Reward Jiawei Fang Yuxuan Sun Chengtian Ma Qiuyu Lu Lining Yao 65 0 0 30 May 2025
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 146 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 201 2 0 24 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Zhiwen Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu Ilya Kolmanovsky Dimitar Filev 139 1 0 31 Mar 2025
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences Anukriti Singh Amisha Bhaskar Peihong Yu Souradip Chakraborty Ruthwik Dasyam Amrit Singh Bedi Erfaun Noorani 162 1 0 18 Mar 2025
Active Learning from Scene Embeddings for End-to-End Autonomous Driving Wenhao Jiang Duo Li Menghan Hu Chao Ma Ke Wang Zhipeng Zhang 157 0 0 14 Mar 2025
Towards Improving Reward Design in RL: A Reward Alignment Metric for RL Practitioners Calarina Muslimani Kerrick Johnstonbaugh Suyog Chandramouli Serena Booth W. B. Knox Matthew E. Taylor 100 0 0 08 Mar 2025
Closing the Intent-to-Behavior Gap via Fulfillment Priority Logic B. Mabsout Abdelrahman AbdelGawad R. Mancuso 185 1 0 04 Mar 2025
Subtask-Aware Visual Reward Learning from Segmented Demonstrations Changyeon Kim Minho Heo Doohyun Lee Jinwoo Shin Honglak Lee Joseph J. Lim Kimin Lee 110 1 0 28 Feb 2025
RIZE: Regularized Imitation Learning via Distributional Reinforcement Learning Adib Karimi Mohammad Mehdi Ebadzadeh OOD 111 0 0 27 Feb 2025
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning Udita Ghosh Dripta S. Raychaudhuri Jiachen Li Konstantinos Karydis Amit K. Roy-Chowdhury VLM 164 0 0 03 Feb 2025
When Can Proxies Improve the Sample Complexity of Preference Learning? Yuchen Zhu Daniel Augusto de Souza Zhengyan Shi Mengyue Yang Pasquale Minervini Alexander DÁmour Matt J. Kusner 180 1 0 21 Dec 2024
Swarm Behavior Cloning Jonas Nüßlein Maximilian Zorn Philipp Altmann Claudia Linnhoff-Popien OffRL 172 0 0 10 Dec 2024
Optimizing Plastic Waste Collection in Water Bodies Using Heterogeneous Autonomous Surface Vehicles with Deep Reinforcement Learning Alejandro Mendoza Barrionuevo S. Luis Daniel Gutiérrez-Reina S. T. Marín 124 2 0 03 Dec 2024
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning Shengjie Sun Runze Liu Jiafei Lyu J. Yang L. Zhang Xiu Li LRM 117 10 0 18 Oct 2024
Multi-objective Reinforcement Learning: A Tool for Pluralistic Alignment Peter Vamplew Conor F. Hayes Cameron Foale Richard Dazeley Hadassah Harland 98 1 0 15 Oct 2024
Large Language Model-Enhanced Reinforcement Learning for Generic Bus Holding Control Strategies Jiajie Yu Yuhong Wang Wei Ma OffRL 208 2 0 14 Oct 2024
CANDERE-COACH: Reinforcement Learning from Noisy Feedback Yuxuan Li Srijita Das Matthew E. Taylor 91 1 0 23 Sep 2024
UniLCD: Unified Local-Cloud Decision-Making via Reinforcement Learning Kathakoli Sengupta Zhongkai Shagguan Sandesh Bharadwaj Sanjay Arora Eshed Ohn-Bar Renato Mancuso 203 0 0 17 Sep 2024
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning Chen-Xiao Gao Shengjun Fang Chenjun Xiao Yang Yu Zongzhang Zhang OffRL 90 1 0 05 Jul 2024
Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning Gautham Vasan Yan Wang Fahim Shahriar James Bergstra Martin Jägersand A. R. Mahmood 108 4 0 29 Jun 2024
OCALM: Object-Centric Assessment with Language Models Timo Kaufmann Johannes Czech Antonia Wüst Quentin Delfosse Kristian Kersting Eyke Hüllermeier LM&Ro LRM 124 1 0 24 Jun 2024
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting Hunter Schofield Hamidreza Mirkhani Mohammed Elmahgiubi Kasra Rezaee Jinjun Shan VGen 153 1 0 20 Jun 2024
Offline Imitation Learning with Model-based Reverse Augmentation Jie-Jing Shao Hao-Sen Shi Lan-Zhe Guo Yu-Feng Li OffRL 110 6 0 18 Jun 2024
Generating and Evolving Reward Functions for Highway Driving with Large Language Models Xu Han Qiannan Yang Xianda Chen Xiaowen Chu Meixin Zhu 134 6 0 15 Jun 2024
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models Phat Nguyen Tsun-Hsuan Wang Zhang-Wei Hong S. Karaman Daniela Rus LM&Ro 115 8 0 06 Jun 2024
REvolve: Reward Evolution with Large Language Models using Human Feedback Rishi Hazra Alkis Sygkounas Andreas Persson Amy Loutfi Pedro Zuidberg Dos Martires 186 7 0 03 Jun 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces Angeliki Kamoutsi Peter Schmitt-Förster Tobias Sutter Volkan Cevher John Lygeros 107 0 0 24 May 2024
Imitation Learning in Discounted Linear MDPs without exploration assumptions Luca Viano Stratis Skoulakis Volkan Cevher 99 5 0 03 May 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving Ahmed Abouelazm Jonas Michel J. M. Zöllner 151 14 0 12 Apr 2024
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods Yuji Cao Huan Zhao Yuheng Cheng Ting Shu Guolong Liu Gaoqi Liang Junhua Zhao Yun Li LLMAG KELM OffRL LM&Ro 183 101 0 30 Mar 2024
Human-compatible driving partners through data-regularized self-play reinforcement learning Daphne Cornelisse Eugene Vinitsky 119 8 0 28 Mar 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 349 8 0 18 Mar 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning Junseok Park Yoonsung Kim Hee Bin Yoo Min Whoo Lee Kibeom Kim Won-Seok Choi Minsu Lee Byoung-Tak Zhang OffRL 103 1 0 11 Mar 2024
Correlated Proxies: A New Definition and Improved Mitigation for Reward Hacking Cassidy Laidlaw Shivam Singhal Anca Dragan AAML 157 18 0 05 Mar 2024
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions Daniel Bogdoll Jing Qin Moritz Nekolla Ahmed Abouelazm Tim Joseph J. Marius Zöllner 99 4 0 06 Feb 2024
Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning Peter Vamplew Cameron Foale Conor F. Hayes Patrick Mannion Enda Howley ... Johan Källström G. Ramos Roxana Rădulescu Willem Röpke D. Roijers OffRL 95 2 0 05 Feb 2024
Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections Daniel Attard Josef Bajada 60 3 0 10 Jan 2024
HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving Zilin Huang Zihao Sheng Chengyuan Ma Sikai Chen 171 45 0 06 Jan 2024
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 125 1 0 10 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 150 8 0 04 Dec 2023
LiveTune: Dynamic Parameter Tuning for Feedback-Driven Optimization Soheil Zibakhsh Shabgahi Nojan Sheybani Aiden Tabrizi F. Koushanfar 81 0 0 28 Nov 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells M. Torné Zihan Wang Samedh Desai Pulkit Agrawal Abhishek Gupta 121 11 0 31 Oct 2023
Eureka: Human-Level Reward Design via Coding Large Language Models Yecheng Jason Ma William Liang Guanzhi Wang De-An Huang Osbert Bastani Dinesh Jayaraman Yuke Zhu Linxi Fan A. Anandkumar 128 372 0 19 Oct 2023
Goodhart's Law in Reinforcement Learning Jacek Karwowski Oliver Hayman Xingjian Bai Klaus Kiendlhofer Charlie Griffin Joar Skalse 105 11 0 13 Oct 2023
$f$ -Policy Gradients: A General Framework for Goal Conditioned RL using $f$ -Divergences Siddhant Agarwal Ishan Durugkar Peter Stone Amy Zhang 115 10 0 10 Oct 2023
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems C. Banerjee Kien Nguyen Clinton Fookes M. Raissi PINN AI4CE 135 13 0 05 Sep 2023
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