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Driving Behavior Modeling using Naturalistic Human Driving Data with
  Inverse Reinforcement Learning
v1v2v3v4 (latest)

Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

7 October 2020
Zhiyu Huang
Jingda Wu
Chen Lv
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning"

44 / 44 papers shown
Title
An Intention-driven Lane Change Framework Considering Heterogeneous Dynamic Cooperation in Mixed-traffic Environment
An Intention-driven Lane Change Framework Considering Heterogeneous Dynamic Cooperation in Mixed-traffic Environment
Xiaoyun Qiu
Haichao Liu
Yue Pan
Jun Ma
Xinhu Zheng
98
0
0
26 Sep 2025
V-SenseDrive: A Privacy-Preserving Road Video and In-Vehicle Sensor Fusion Framework for Road Safety & Driver Behaviour Modelling
V-SenseDrive: A Privacy-Preserving Road Video and In-Vehicle Sensor Fusion Framework for Road Safety & Driver Behaviour Modelling
Muhammad Naveed
N. Perwaiz
Sidra Sultana
Mohaira Ahmad
M. Fraz
48
0
0
18 Sep 2025
TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
Momchil S. Tomov
Sang Uk Lee
Hansford Hendrago
Jinwook Huh
Teawon Han
...
Michael Napoli
Kuo Chen
Jesse Miller
Boaz Floor
Yunqing Hu
OffRL
253
0
0
16 Sep 2025
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
Rui Yu
Xianghang Zhang
Runkai Zhao
HuaiCheng Yan
Meng Wang
47
3
0
07 Aug 2025
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning
Ondrej Bajgar
Dewi S.W. Gould
Jonathon Liu
Alessandro Abate
Konstantinos Gatsis
Michael A. Osborne
169
0
0
05 Aug 2025
An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning
An Evolving Scenario Generation Method based on Dual-modal Driver Model Trained by Multi-Agent Reinforcement Learning
Xinzheng Wu
Junyi Chen
Shaolingfeng Ye
Wei Jiang
Yong Shen
56
0
0
04 Aug 2025
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
Wenyun Li
Wenjie Huang
Zejian Deng
Chen Sun
MambaAI4CE
133
0
0
14 Jun 2025
Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving
Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous DrivingEuropean Conference on Mobile Robots (ECMR), 2025
Hendrik Surmann
Jorge de Heuvel
Maren Bennewitz
191
0
0
08 May 2025
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Hamzah I. Khan
David Fridovich-Keil
268
0
0
03 May 2025
PDB: Not All Drivers Are the Same -- A Personalized Dataset for Understanding Driving Behavior
Chuheng Wei
Ziye Qin
Siyan Li
Ziyan Zhang
Xuanpeng Zhao
Lingxi Li
Rohit Gupta
Kyungtae Han
Matthew Barth
Guoyuan Wu
233
2
0
09 Mar 2025
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Reinforced Imitative Trajectory Planning for Urban Automated Driving
Di Zeng
Ling Zheng
Xiantong Yang
Yinong Li
243
0
0
21 Oct 2024
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward
  Modeling and Reinforcement Learning Fine-tuning
Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuningIEEE International Conference on Robotics and Automation (ICRA), 2024
Zhiyu Huang
Xinshuo Weng
Maximilian Igl
Yuxiao Chen
Yulong Cao
Boris Ivanovic
Marco Pavone
Chen Lv
147
26
0
08 Oct 2024
From Words to Wheels: Automated Style-Customized Policy Generation for
  Autonomous Driving
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving
Xu Han
Xianda Chen
Zhenghan Cai
Pinlong Cai
Meixin Zhu
Xiaowen Chu
157
1
0
18 Sep 2024
Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
Hypergraph-based Motion Generation with Multi-modal Interaction Relational ReasoningTransportation Research Part C: Emerging Technologies (TRC), 2024
Keshu Wu
Yang Zhou
Haotian Shi
Dominique Lord
Bin Ran
Xinyue Ye
217
5
0
18 Sep 2024
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world Environments
Lab2Car: A Versatile Wrapper for Deploying Experimental Planners in Complex Real-world EnvironmentsIEEE International Conference on Robotics and Automation (ICRA), 2024
Marc Heim
Fráncisco Suarez-Ruiz
Ishraq Bhuiyan
Bruno Brito
Momchil S. Tomov
238
2
0
14 Sep 2024
Courteous MPC for Autonomous Driving with CBF-inspired Risk Assessment
Courteous MPC for Autonomous Driving with CBF-inspired Risk Assessment
Yanze Zhang
Yiwei Lyu
Sude E. Demir
Xingyu Zhou
Yupeng Yang
Junmin Wang
Wenhao Luo
263
3
0
23 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human
  Driving Priors
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving PriorsIEEE Transactions on Intelligent Vehicles (TIV), 2024
Kunkun Hao
Yonggang Luo
Wen Cui
Yuqiao Bai
Jucheng Yang
Songyang Yan
Yuxi Pan
Zijiang Yang
AAML
347
31
0
06 Aug 2024
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based
  Transfer Imitation Learning
PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation Learning
Fangze Lin
Ying He
Fei Yu
212
2
0
26 Jul 2024
Generating and Evolving Reward Functions for Highway Driving with Large
  Language Models
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han
Qiannan Yang
Xianda Chen
Xiaowen Chu
Meixin Zhu
234
7
0
15 Jun 2024
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic
  Behavior Sets
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets
Hamzah I. Khan
Adam J. Thorpe
David Fridovich-Keil
150
1
0
29 May 2024
How to Evaluate Human-likeness of Interaction-aware Driver Models
Jemin Woo
Changsun Ahn
184
0
0
29 Feb 2024
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation
  for Tree Policy Planning in Autonomous Driving
DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2023
Zhiyu Huang
Peter Karkus
Boris Ivanovic
Yuxiao Chen
Marco Pavone
Chen Lv
241
56
0
09 Oct 2023
A Two-stage Based Social Preference Recognition in Multi-Agent
  Autonomous Driving System
A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving SystemIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Jintao Xue
Dongkun Zhang
Rong Xiong
Yue Wang
Eryun Liu
233
1
0
05 Oct 2023
Interpretable and Flexible Target-Conditioned Neural Planners For
  Autonomous Vehicles
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous VehiclesIEEE International Conference on Robotics and Automation (ICRA), 2023
Haolan Liu
Jishen Zhao
Liangjun Zhang
121
3
0
23 Sep 2023
Interaction-Aware Personalized Vehicle Trajectory Prediction Using
  Temporal Graph Neural Networks
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks
Lingxi Li
Rohit Gupta
Kyungtae Han
146
10
0
14 Aug 2023
Teaching Autonomous Vehicles to Express Interaction Intent during
  Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning
  Approach
Teaching Autonomous Vehicles to Express Interaction Intent during Unprotected Left Turns: A Human-Driving-Prior-Based Trajectory Planning Approach
Jiaqi Liu
Xiao Qi
Ying Ni
Jian Sun
Peng Hang
82
1
0
29 Jul 2023
Evolving Testing Scenario Generation Method and Intelligence Evaluation
  Framework for Automated Vehicles
Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles
Yining Ma
Wei Jiang
Lingtong Zhang
Junyi Chen
Hong Wang
Chen Lv
X. Wang
Lu Xiong
147
2
0
12 Jun 2023
Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous
  Mixed Traffic: A Game Theoretic Approach
Cooperative Driving of Connected Autonomous Vehicles in Heterogeneous Mixed Traffic: A Game Theoretic ApproachIEEE Transactions on Intelligent Vehicles (TIV), 2023
Shiyu Fang
Peng Hang
Chongfeng Wei
Yangang Xing
Jian Sun
166
14
0
05 May 2023
Occupancy Prediction-Guided Neural Planner for Autonomous Driving
Occupancy Prediction-Guided Neural Planner for Autonomous Driving
Haochen Liu
Zhiyu Huang
Chen Lv
171
14
0
05 May 2023
Learning Interaction-aware Motion Prediction Model for Decision-making
  in Autonomous Driving
Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Wenhui Huang
Chen Lv
178
22
0
08 Feb 2023
Conditional Predictive Behavior Planning with Inverse Reinforcement
  Learning for Human-like Autonomous Driving
Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Chen Lv
223
89
0
17 Dec 2022
Augmenting Reinforcement Learning with Transformer-based Scene
  Representation Learning for Decision-making of Autonomous Driving
Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous DrivingIEEE Transactions on Intelligent Vehicles (IEEE Trans. Intell. Veh.), 2022
Haochen Liu
Zhiyu Huang
Xiaoyu Mo
Chen Lv
ViTOffRL
262
56
0
24 Aug 2022
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented
  Research and Digital Twins
CitySim: A Drone-Based Vehicle Trajectory Dataset for Safety Oriented Research and Digital TwinsTransportation Research Record (TRR), 2022
Ou Zheng
Mohamed Abdel-Aty
Lishengsa Yue
Lingxi Li
Zijin Wang
Nada Mahmoud
232
167
0
23 Aug 2022
Basis for Intentions: Efficient Inverse Reinforcement Learning using
  Past Experience
Basis for Intentions: Efficient Inverse Reinforcement Learning using Past Experience
Marwa Abdulhai
Natasha Jaques
Sergey Levine
OffRL
109
5
0
09 Aug 2022
STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field
  Prediction in Autonomous Driving
STrajNet: Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2022
Haochen Liu
Zhiyu Huang
Chen Lv
174
18
0
31 Jul 2022
Differentiable Integrated Motion Prediction and Planning with Learnable
  Cost Function for Autonomous Driving
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous DrivingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zhiyu Huang
Haochen Liu
Jingda Wu
Chen Lv
252
125
0
21 Jul 2022
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion
  Prediction in Autonomous Driving Application
ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application
Zhiyu Huang
Xiaoyu Mo
Chen Lv
177
21
0
02 Jul 2022
Driving in Real Life with Inverse Reinforcement Learning
Driving in Real Life with Inverse Reinforcement Learning
Tung Phan-Minh
Forbes Howington
Ting-Sheng Chu
Sang Uk Lee
Momchil S. Tomov
...
Fráncisco Suarez-Ruiz
Robert E. Beaudoin
Bo Yang
Sammy Omari
Eric M. Wolff
OffRL
185
29
0
07 Jun 2022
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and
  Feasible Agent Behaviors for Autonomous Driving
TrajGen: Generating Realistic and Diverse Trajectories with Reactive and Feasible Agent Behaviors for Autonomous Driving
Qichao Zhang
Yinfeng Gao
Yikang Zhang
Youtian Guo
Dawei Ding
Yunpeng Wang
Peng Sun
Dongbin Zhao
221
45
0
31 Mar 2022
An Adaptive Human Driver Model for Realistic Race Car Simulations
An Adaptive Human Driver Model for Realistic Race Car Simulations
Stefan Löckel
Siwei Ju
Maximilian Schaller
Peter van Vliet
Jan Peters
215
3
0
03 Mar 2022
A human factors approach to validating driver models for
  interaction-aware automated vehicles
A human factors approach to validating driver models for interaction-aware automated vehicles
Olger Siebinga
Arkady Zgonnikov
David A. Abbink
154
26
0
27 Sep 2021
Multi-modal Motion Prediction with Transformer-based Neural Network for
  Autonomous Driving
Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
Zhiyu Huang
Xiaoyu Mo
Chen Lv
211
134
0
14 Sep 2021
Efficient Deep Reinforcement Learning with Imitative Expert Priors for
  Autonomous Driving
Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous DrivingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zhiyu Huang
Jingda Wu
Chen Lv
344
184
0
19 Mar 2021
Improved Deep Reinforcement Learning with Expert Demonstrations for
  Urban Autonomous Driving
Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
Haochen Liu
Zhiyu Huang
Jingda Wu
Chen Lv
295
89
0
18 Feb 2021
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