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Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving

Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving

18 October 2022
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
Yiren Lu
Supratik Paul
Payam Nikdel
Paul Mougin
Hongge Chen
Justin Fu
Austin Abrams
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
ArXivPDFHTML

Papers citing "Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving"

38 / 38 papers shown
Title
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Shangzhe Li
Zhiao Huang
Hao Su
52
0
0
04 May 2025
SILM: A Subjective Intent Based Low-Latency Framework for Multiple Traffic Participants Joint Trajectory Prediction
SILM: A Subjective Intent Based Low-Latency Framework for Multiple Traffic Participants Joint Trajectory Prediction
Qu Weiming
Wang Jia
Du Jiawei
Zhu Yuanhao
Yu Jianfeng
Xia Rui
Cao Song
Wu Xihong
Luo Dingsheng
20
0
0
23 Apr 2025
Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking
Graph-based Path Planning with Dynamic Obstacle Avoidance for Autonomous Parking
Farhad Nawaz
Minjun Sung
Darshan Gadginmath
Jovin D'sa
S. Bae
David Isele
Nadia Figueroa
Nikolai Matni
Faizan M. Tariq
49
0
0
17 Apr 2025
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving
Hamidreza Mirkhani
Behzad Khamidehi
Ehsan Ahmadi
Fazel Arasteh
Mohammed Elmahgiubi
Weize Zhang
Umar Rajguru
Kasra Rezaee
52
0
0
03 Mar 2025
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
A. Jain
Harley Wiltzer
Jesse Farebrother
Irina Rish
Glen Berseth
Sanjiban Choudhury
39
1
0
11 Nov 2024
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent
  Models in Autonomous Highway Driving Simulations
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer
Reinis Cimurs
Benjamin Coors
Johannes Goth
Sebastian Ziesche
Philipp Geiger
Maximilian Naumann
19
0
0
21 Oct 2024
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
Saman Kazemkhani
Aarav Pandya
Daphne Cornelisse
Brennan Shacklett
Eugene Vinitsky
23
7
0
02 Aug 2024
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent
  Motion-Forecasting
Vectorized Representation Dreamer (VRD): Dreaming-Assisted Multi-Agent Motion-Forecasting
Hunter Schofield
Hamidreza Mirkhani
Mohammed Elmahgiubi
Kasra Rezaee
Jinjun Shan
VGen
31
0
0
20 Jun 2024
A Long-Short-Term Mixed-Integer Formulation for Highway Lane Change
  Planning
A Long-Short-Term Mixed-Integer Formulation for Highway Lane Change Planning
Rudolf Reiter
Armin Nurkanovic
Daniele Bernadini
Moritz Diehl
Alberto Bemporad
22
0
0
05 May 2024
MRIC: Model-Based Reinforcement-Imitation Learning with
  Mixture-of-Codebooks for Autonomous Driving Simulation
MRIC: Model-Based Reinforcement-Imitation Learning with Mixture-of-Codebooks for Autonomous Driving Simulation
Baotian He
Yibing Li
23
0
0
29 Apr 2024
Adversarial Imitation Learning via Boosting
Adversarial Imitation Learning via Boosting
Jonathan D. Chang
Dhruv Sreenivas
Yingbing Huang
Kianté Brantley
Wen Sun
19
2
0
12 Apr 2024
Offline Imitation of Badminton Player Behavior via Experiential Contexts
  and Brownian Motion
Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
Kuang-Da Wang
Wei-Yao Wang
Ping-Chun Hsieh
Wenjie Peng
OffRL
18
0
0
19 Mar 2024
Hybrid Inverse Reinforcement Learning
Hybrid Inverse Reinforcement Learning
Juntao Ren
Gokul Swamy
Zhiwei Steven Wu
J. Andrew Bagnell
Sanjiban Choudhury
34
18
0
13 Feb 2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot
  Learning
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov
Kyle Hatch
Victor Kolev
John D. Martin
Mariano Phielipp
Chelsea Finn
OffRL
OnRL
12
9
0
06 Jan 2024
What Makes a Fantastic Passenger-Car Driver in Urban Contexts?
Yueteng Yu
Zhijie Yi
Xinyu Yang
Mengdi Chu
Junrong Lu
...
Jialin Song
Xingrui Gu
Jirui Yuan
Guyue Zhou
Jiangtao Gong
19
0
0
07 Nov 2023
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous
  Driving Research
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
Cole Gulino
Justin Fu
Wenjie Luo
George Tucker
Eli Bronstein
...
Brandyn White
Aleksandra Faust
R. McAllister
Drago Anguelov
Benjamin Sapp
24
89
0
12 Oct 2023
Uncertainty-Aware Decision Transformer for Stochastic Driving
  Environments
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments
Zenan Li
Fan Nie
Q. Sun
Fang Da
Hang Zhao
OffRL
21
3
0
28 Sep 2023
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal
  Knowledge Distillation
DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation
Zeyu Wang
Dingwen Li
Chenxu Luo
Cihang Xie
Xiaodong Yang
27
23
0
26 Sep 2023
Boosting Offline Reinforcement Learning for Autonomous Driving with
  Hierarchical Latent Skills
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li
Fan Nie
Q. Sun
Fang Da
Hang Zhao
OffRL
20
6
0
24 Sep 2023
Rethinking Imitation-based Planner for Autonomous Driving
Rethinking Imitation-based Planner for Autonomous Driving
Jie-Zhi Cheng
Yingbing Chen
Xiaodong Mei
Bowen Yang
Bo Li
Ming-Yu Liu
39
18
0
19 Sep 2023
Striking a Balance: An Optimal Mechanism Design for Heterogenous
  Differentially Private Data Acquisition for Logistic Regression
Striking a Balance: An Optimal Mechanism Design for Heterogenous Differentially Private Data Acquisition for Logistic Regression
Ameya Anjarlekar
Rasoul Etesami
R. Srikant
41
3
0
19 Sep 2023
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A
  comprehensive survey, Challenges, and Future Research Directions
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions
Vibha Bharilya
Neetesh Kumar
16
46
0
12 Jul 2023
A Survey on Datasets for Decision-making of Autonomous Vehicle
A Survey on Datasets for Decision-making of Autonomous Vehicle
Yuning Wang
Zeyu Han
Yining Xing
Shaobing Xu
Jianqiang Wang
16
3
0
29 Jun 2023
Transcendental Idealism of Planner: Evaluating Perception from Planning
  Perspective for Autonomous Driving
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving
Wei-Xin Li
Xiaodong Yang
12
8
0
12 Jun 2023
Selective Communication for Cooperative Perception in End-to-End
  Autonomous Driving
Selective Communication for Cooperative Perception in End-to-End Autonomous Driving
Hsu-kuang Chiu
Stephen F. Smith
6
6
0
26 May 2023
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR
  Point Clouds
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
Jin-Yang Li
Chenxu Luo
Xiaodong Yang
3DPC
9
77
0
08 May 2023
Inverse Reinforcement Learning without Reinforcement Learning
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
11
33
0
26 Mar 2023
Interpretable Motion Planner for Urban Driving via Hierarchical
  Imitation Learning
Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning
Bikun Wang
Zhipeng Wang
Chenhao Zhu
Zhiqiang Zhang
Zhichen Wang
Penghong Lin
Jingchu Liu
Qian Zhang
18
5
0
24 Mar 2023
Hierarchical Generative Adversarial Imitation Learning with Mid-level
  Input Generation for Autonomous Driving on Urban Environments
Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments
Gustavo Claudio Karl Couto
Eric A. Antonelo
GAN
17
6
0
09 Feb 2023
Imitation Is Not Enough: Robustifying Imitation with Reinforcement
  Learning for Challenging Driving Scenarios
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios
Yiren Lu
Justin Fu
George Tucker
Xinlei Pan
Eli Bronstein
...
Brandyn White
Aleksandra Faust
Shimon Whiteson
Drago Anguelov
Sergey Levine
OffRL
8
56
0
21 Dec 2022
Embedding Synthetic Off-Policy Experience for Autonomous Driving via
  Zero-Shot Curricula
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
Eli Bronstein
S. Srinivasan
Supratik Paul
Aman Sinha
Matthew O'Kelly
Payam Nikdel
Shimon Whiteson
OffRL
8
17
0
02 Dec 2022
Evaluation of MPC-based Imitation Learning for Human-like Autonomous
  Driving
Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving
F. S. Acerbo
Jan Swevers
Tinne Tuytelaars
Tong Duy Son
17
3
0
22 Nov 2022
Reward (Mis)design for Autonomous Driving
Reward (Mis)design for Autonomous Driving
W. B. Knox
A. Allievi
Holger Banzhaf
Felix Schmitt
Peter Stone
67
112
0
28 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset
Scott Ettinger
Shuyang Cheng
Benjamin Caine
Chenxi Liu
Hang Zhao
...
Jiquan Ngiam
Vijay Vasudevan
Alexander McCauley
Jonathon Shlens
Drago Anguelov
129
528
0
20 Apr 2021
Deep Structured Reactive Planning
Deep Structured Reactive Planning
Jerry Liu
Wenyuan Zeng
R. Urtasun
Ersin Yumer
61
30
0
18 Jan 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
140
221
0
17 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun-Jie Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
131
192
0
19 Oct 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
321
1,944
0
04 May 2020
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