Imitating Driver Behavior with Generative Adversarial Networks

24 January 2017

Mykel Kochenderfer

Papers citing "Imitating Driver Behavior with Generative Adversarial Networks"

50 / 61 papers shown

Title
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios Hamzah I. Khan David Fridovich-Keil 30 0 0 03 May 2025
Quantization-Free Autoregressive Action Transformer Ziyad Sheebaelhamd Michael Tschannen Michael Muehlebach Claire Vernade 49 0 0 18 Mar 2025
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors Kunkun Hao Yonggang Luo Wen Cui Yuqiao Bai Jucheng Yang Songyang Yan Yuxi Pan Zijiang Yang AAML 36 19 0 06 Aug 2024
Conditional Latent ODEs for Motion Prediction in Autonomous Driving Khang Truong Giang Yongjae Kim Andrea Finazzi BDL 32 1 0 29 May 2024
CARL: Congestion-Aware Reinforcement Learning for Imitation-based Perturbations in Mixed Traffic Control Bibek Poudel Weizi Li Shuai Li 37 8 0 31 Mar 2024
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
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction Kehua Chen Xianda Chen Zihan Yu Meixin Zhu Hai Yang DiffM 48 20 0 12 Aug 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions Vibha Bharilya Neetesh Kumar 31 47 0 12 Jul 2023
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving Zihao Wen Yifan Zhang Xinhong Chen Jianping Wang 35 1 0 31 May 2023
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments Gustavo Claudio Karl Couto Eric A. Antonelo GAN 30 6 0 09 Feb 2023
Teamwork under extreme uncertainty: AI for Pokemon ranks 33rd in the world Nicholas R. Sarantinos 11 1 0 27 Dec 2022
CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization Eesha Kumar Yiming Zhang S. Pini Simon Stent Ana Ferreira Sergey Zagoruyko C. Perone OffRL 20 1 0 05 Oct 2022
BITS: Bi-level Imitation for Traffic Simulation Danfei Xu Yuxiao Chen Boris Ivanovic Marco Pavone 34 81 0 26 Aug 2022
Exploring the trade off between human driving imitation and safety for traffic simulation Yann Koeberle S. Sabatini D. Tsishkou C. Sabourin 33 4 0 09 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu OffRL 31 25 0 03 Aug 2022
Vessel-following model for inland waterways based on deep reinforcement learning Fabian Hart Ostap Okhrin M. Treiber 38 11 0 07 Jul 2022
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning Yuxiao Chen Boris Ivanovic Marco Pavone 43 77 0 18 Jun 2022
Learning-Based Motion Planning with Mixture Density Networks Yinghan Wang Xiaoming Duan Jianping He 3DPC 17 0 0 07 Jun 2022
An efficient Deep Spatio-Temporal Context Aware decision Network (DST-CAN) for Predictive Manoeuvre Planning Jayabrata Chowdhury Suresh Sundaram Nishanth Rao N. Sundararajan 21 2 0 20 May 2022
An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios Zirui Li Yunlong Lin Cheng Gong Xinwei Wang Qi Liu Jian-wei Gong Chao Lu 38 5 0 22 Feb 2022
Causal Imitation Learning under Temporally Correlated Noise Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu CML 24 29 0 02 Feb 2022
Modeling Human Driver Interactions Using an Infinite Policy Space Through Gaussian Processes Cem Okan Yaldiz Y. Yildiz 9 0 0 03 Jan 2022
Hierarchical Motion Encoder-Decoder Network for Trajectory Forecasting Qifan Xue Shen Li Xuanpeng Li Jingwen Zhao Weigong Zhang 21 10 0 26 Nov 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 33 9 0 15 Nov 2021
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
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles Sampo Kuutti Saber Fallah Richard Bowden AAML 30 5 0 09 Jul 2021
Social Coordination and Altruism in Autonomous Driving Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 24 66 0 01 Jul 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv 27 24 0 14 Jun 2021
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach A. Hakobyan Insoon Yang 104 25 0 03 May 2021
Spatio-Temporal Look-Ahead Trajectory Prediction using Memory Neural Network Nishanth Rao Suresh Sundaram 27 5 0 24 Feb 2021
Act to Reason: A Dynamic Game Theoretical Model of Driving Cevahir Köprülü Y. Yildiz 11 1 0 14 Jan 2021
A Physics-Informed Deep Learning Paradigm for Car-Following Models Zhaobin Mo Xuan Di Rongye Shi PINN AI4CE 27 131 0 24 Dec 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 34 65 0 01 Jul 2020
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior Kyle Brown Katherine Driggs-Campbell Mykel J. Kochenderfer 22 19 0 15 Jun 2020
Online Parameter Estimation for Human Driver Behavior Prediction Raunak P. Bhattacharyya Ransalu Senanayake Kyle Brown Mykel Kochenderfer 27 33 0 06 May 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan Masayoshi Tomizuka 26 36 0 07 Apr 2020
Driver Modeling through Deep Reinforcement Learning and Behavioral Game Theory Mert Albaba Y. Yildiz OffRL 13 48 0 24 Mar 2020
GISNet: Graph-Based Information Sharing Network For Vehicle Trajectory Prediction Ziyi Zhao Haowen Fang Zhao Jin Qinru Qiu 27 35 0 22 Mar 2020
Generative Adversarial Imitation Learning with Neural Networks: Global Optimality and Convergence Rate Yufeng Zhang Qi Cai Zhuoran Yang Zhaoran Wang 111 12 0 08 Mar 2020
A Multi-Modal States based Vehicle Descriptor and Dilated Convolutional Social Pooling for Vehicle Trajectory Prediction Huimin Zhang Yafei Wang Junjia Liu Chengwei Li Taiyuan Ma Chengliang Yin 16 12 0 07 Mar 2020
On Computation and Generalization of Generative Adversarial Imitation Learning Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 37 40 0 09 Jan 2020
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 28 347 0 04 Nov 2019
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process Jiacheng Zhu Shenghao Qin Wenshuo Wang Ding Zhao 22 10 0 17 Oct 2019
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations, and Insights Siddharth Siddharth Mohan M. Trivedi 30 11 0 30 Sep 2019
Driving in Dense Traffic with Model-Free Reinforcement Learning D. Saxena S. Bae A. Nakhaei K. Fujimura Maxim Likhachev 27 86 0 15 Sep 2019
Human Motion Trajectory Prediction: A Survey Andrey Rudenko Luigi Palmieri Michael Herman Kris M. Kitani D. Gavrila Kai O. Arras 34 726 0 15 May 2019
Attention Monitoring and Hazard Assessment with Bio-Sensing and Vision: Empirical Analysis Utilizing CNNs on the KITTI Dataset Siddharth Siddharth Mohan M. Trivedi 17 7 0 01 May 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction Tianyang Zhao Yifei Xu Mathew Monfort Wongun Choi Chris L. Baker Yibiao Zhao Yizhou Wang Ying Nian Wu 21 391 0 09 Apr 2019
Interaction-aware Kalman Neural Networks for Trajectory Prediction Ce Ju Zihan Wang Cheng Long Xiaoyu Zhang D. Chang 24 53 0 28 Feb 2019