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Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

1 May 2019

Papers citing "Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving"

30 / 30 papers shown

Title
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation Achref Doula M. Mühlhäuser Alejandro Sánchez Guinea 130 0 0 14 May 2025
Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving Hendrik Surmann Jorge de Heuvel Maren Bennewitz 97 0 0 08 May 2025
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning Dongsu Lee Minhae Kwon 110 1 0 22 Oct 2024
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving Xu Han Xianda Chen Zhenghan Cai Pinlong Cai Meixin Zhu Xiaowen Chu 81 1 0 18 Sep 2024
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning Fangze Lin Ying He Fei Yu 70 0 0 26 Jul 2024
PECAN: Personalizing Robot Behaviors through a Learned Canonical Space Heramb Nemlekar Robert Ramirez Sanchez Dylan P. Losey 111 3 0 22 Jul 2024
Automatic Parameter Tuning of Self-Driving Vehicles Hung-Ju Wu Vladislav Nenchev Christian Rathgeber 73 3 0 25 Jun 2024
Towards A General-Purpose Motion Planning for Autonomous Vehicles Using Fluid Dynamics Mreza Alipour Sormoli K. Koufos M. Dianati Roger Woodman 59 0 0 09 Jun 2024
A Review of Reward Functions for Reinforcement Learning in the context of Autonomous Driving Ahmed Abouelazm Jonas Michel J. M. Zöllner 100 8 0 12 Apr 2024
IR-STP: Enhancing Autonomous Driving with Interaction Reasoning in Spatio-Temporal Planning Yingbing Chen Jie Cheng Lu Gan Sheng Wang Hongji Liu Xiaodong Mei Ming-Yuan Liu 105 5 0 06 Nov 2023
Pixel State Value Network for Combined Prediction and Planning in Interactive Environments Sascha Rosbach Stefan M. Leupold S. Großjohann Stefan Roth 59 0 0 11 Oct 2023
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events Aizaz Sharif D. Marijan AAML 53 0 0 28 Aug 2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving Weihua Kou Shuai Wang Guangxu Zhu Bin Luo Yingxian Chen Derrick Wing Kwan Ng Yik-Chung Wu 87 14 0 28 Jun 2023
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving Zhiyu Huang Haochen Liu Jingda Wu Chen Lv 101 63 0 17 Dec 2022
Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles Sushant Veer Karen Leung Ryan K. Cosner Yuxiao Chen Peter Karkus Marco Pavone 97 12 0 06 Dec 2022
Automatic Evaluation of Excavator Operators using Learned Reward Functions Pranav Agarwal M. Teichmann Sheldon Andrews Samira Ebrahimi Kahou OffRL 95 2 0 15 Nov 2022
A Study on Learning and Simulating Personalized Car-Following Driving Style Shili Sheng Erfan Pakdamanian Kyungtae Han Ziran Wang Lu Feng 46 3 0 17 Aug 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models Marvin Klingner Konstantin Müller Mona Mirzaie Jasmin Breitenstein Jan-Aike Termöhlen Tim Fingscheidt 70 4 0 01 Jun 2022
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning Haichao Zhang Wei Xu Haonan Yu 78 10 0 24 Jan 2022
Automated Controller Calibration by Kalman Filtering Marcel Menner K. Berntorp Stefano Di Cairano 72 12 0 21 Nov 2021
A human factors approach to validating driver models for interaction-aware automated vehicles Olger Siebinga Arkady Zgonnikov David A. Abbink 86 24 0 27 Sep 2021
A review of mobile robot motion planning methods: from classical motion planning workflows to reinforcement learning-based architectures Changyin Sun Zicheng He Chunwei Song Changyin Sun 108 59 0 31 Aug 2021
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles Zhitao Wang Yuzheng Zhuang Qiang Gu Dong Chen Hongbo Zhang Wulong Liu 52 9 0 08 Jul 2021
Inverse Reinforcement Learning Based Stochastic Driver Behavior Learning M. Ozkan Abishek Joseph Rocque Yao Ma 63 13 0 01 Jul 2021
Calibration of Human Driving Behavior and Preference Using Naturalistic Traffic Data Qi Dai Di Shen Jinhong Wang Suzhou Huang Dimitar Filev 57 12 0 05 May 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving Zhiyu Huang Jingda Wu Chen Lv 92 144 0 19 Mar 2021
Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map Elmira Amirloo Mohsen Rohani Ershad Banijamali Jun Luo Pascal Poupart SSL 100 4 0 01 Mar 2021
Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning Zhiyu Huang Jingda Wu Chen Lv OffRL 117 152 0 07 Oct 2020
Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning Sascha Rosbach Xing Li S. Großjohann S. Homoceanu Stefan Roth 49 10 0 11 Jul 2020
Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving Sascha Rosbach Vinit James S. Großjohann S. Homoceanu Xing Li Stefan Roth 65 9 0 07 Dec 2019