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Modeling Human Driving Behavior through Generative Adversarial Imitation
  Learning

Modeling Human Driving Behavior through Generative Adversarial Imitation Learning

10 June 2020
Raunak P. Bhattacharyya
Blake Wulfe
Derek J. Phillips
Alex Kuefler
Jeremy Morton
Ransalu Senanayake
Mykel Kochenderfer
ArXivPDFHTML

Papers citing "Modeling Human Driving Behavior through Generative Adversarial Imitation Learning"

18 / 18 papers shown
Title
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Hamzah I. Khan
David Fridovich-Keil
23
0
0
03 May 2025
Diverse Controllable Diffusion Policy with Signal Temporal Logic
Yue Meng
Chuchu fan
51
2
0
04 Mar 2025
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Adversarial and Reactive Traffic Entities for Behavior-Realistic Driving Simulation: A Review
Joshua Ransiek
Philipp Reis
Tobias Schürmann
Eric Sax
75
0
0
21 Sep 2024
LCSim: A Large-Scale Controllable Traffic Simulator
LCSim: A Large-Scale Controllable Traffic Simulator
Yuheng Zhang
Tianjian Ouyang
Fudan Yu
Cong Ma
Lei Qiao
Jingtao Ding
Jian Yuan
Yong Li
46
2
0
28 Jun 2024
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation
Chen Yang
Aaron Xuxiang Tian
Dong Chen
Tianyu Shi
Arsalan Heydarian
Tianyu Shi
Arsalan Heydarian
Pei Liu
56
8
0
02 Apr 2024
CARL: Congestion-Aware Reinforcement Learning for Imitation-based
  Perturbations in Mixed Traffic Control
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control
Bibek Poudel
Weizi Li
Shuai Li
37
7
0
31 Mar 2024
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human
  Racing Gameplay
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
Catherine Weaver
Chen Tang
Ce Hao
Kenta Kawamoto
Masayoshi Tomizuka
Wei Zhan
OffRL
32
0
0
22 Feb 2024
SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent
  Diffusion Models
SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models
Zhiming Guo
Xing Gao
Jianlan Zhou
Xinyu Cai
Botian Shi
DiffM
26
22
0
27 Nov 2023
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
26
1
0
17 Jun 2023
Curricular Subgoals for Inverse Reinforcement Learning
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu
Yunpeng Qing
Shuqi Xu
Hongyan Wu
Jiangtao Zhang
Jingyuan Cong
Tianhao Chen
Yunfu Liu
Mingli Song
21
1
0
14 Jun 2023
On Learning the Tail Quantiles of Driving Behavior Distributions via
  Quantile Regression and Flows
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows
Jia Yu Tee
Oliver De Candido
Wolfgang Utschick
Philipp Geiger
27
0
0
22 May 2023
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
Zhengbang Zhu
Shenyu Zhang
Yuzheng Zhuang
Yuecheng Liu
Minghuan Liu
...
Bin Wang
Siqi Cheng
Xinyu Wang
Jianye Hao
Yong Yu
6
8
0
07 Nov 2022
DeepIPC: Deeply Integrated Perception and Control for an Autonomous
  Vehicle in Real Environments
DeepIPC: Deeply Integrated Perception and Control for an Autonomous Vehicle in Real Environments
Oskar Natan
J. Miura
32
1
0
20 Jul 2022
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior
Uncertainty-Aware Online Merge Planning with Learned Driver Behavior
Liam A. Kruse
Esen Yel
Ransalu Senanayake
Mykel J. Kochenderfer
21
3
0
11 Jul 2022
How To Not Drive: Learning Driving Constraints from Demonstration
How To Not Drive: Learning Driving Constraints from Demonstration
K. Rezaee
Peyman Yadmellat
31
3
0
01 Oct 2021
Urban Driver: Learning to Drive from Real-world Demonstrations Using
  Policy Gradients
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel
Luca Bergamini
Maciej Wołczyk
Bla.zej Osiñski
Peter Ondruska
37
104
0
27 Sep 2021
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through
  Particle Filtering
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
Raunak P. Bhattacharyya
Soyeon Jung
Liam A. Kruse
Ransalu Senanayake
Mykel Kochenderfer
18
26
0
29 Aug 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors
Simon Suo
S. Regalado
Sergio Casas
R. Urtasun
151
224
0
17 Jan 2021
1