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Symphony: Learning Realistic and Diverse Agents for Autonomous Driving
  Simulation

Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation

6 May 2022
Maximilian Igl
Daewoo Kim
Alex Kuefler
Paul Mougin
Punit Shah
K. Shiarlis
Drago Anguelov
Mark Palatucci
Brandyn White
Shimon Whiteson
ArXivPDFHTML

Papers citing "Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation"

50 / 57 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
57
0
0
04 May 2025
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Luke Rowe
Roger Girgis
Anthony Gosselin
Liam Paull
C. Pal
Felix Heide
DiffM
VGen
33
1
0
28 Mar 2025
Generating Multimodal Driving Scenes via Next-Scene Prediction
Generating Multimodal Driving Scenes via Next-Scene Prediction
Yanhao Wu
Haoyang Zhang
Tianwei Lin
Lichao Huang
Shujie Luo
Rui Wu
Congpei Qiu
Wei Ke
Tong Zhang
VGen
46
0
0
19 Mar 2025
Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions
Zherui Huang
Xing Gao
Guanjie Zheng
Licheng Wen
Xuemeng Yang
X. Sun
AAML
47
0
0
07 Mar 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Y. Yang
VGen
77
6
0
20 Jan 2025
On-line Policy Improvement using Monte-Carlo Search
On-line Policy Improvement using Monte-Carlo Search
Gerald Tesauro
Gregory R. Galperin
81
270
0
09 Jan 2025
SceneDiffuser: Efficient and Controllable Driving Simulation
  Initialization and Rollout
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout
C. Jiang
Yijing Bai
Andre Cornman
Christopher Davis
Xiukun Huang
...
Carlos Fuertes
Chang Yuan
Mingxing Tan
Yin Zhou
Dragomir Anguelov
68
13
0
05 Dec 2024
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
49
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
29
0
0
21 Oct 2024
Reward-free World Models for Online Imitation Learning
Reward-free World Models for Online Imitation Learning
Shangzhe Li
Zhiao Huang
H. Su
OffRL
63
1
0
17 Oct 2024
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
LoRD: Adapting Differentiable Driving Policies to Distribution Shifts
Christopher P. Diehl
Peter Karkus
Sushant Veer
Marco Pavone
Torsten Bertram
122
0
0
13 Oct 2024
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios
  via Guided Diffusion
AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion
Yuting Xie
Xianda Guo
Cong Wang
Kunhua Liu
Long Chen
AAML
46
4
0
11 Oct 2024
Learning to Drive via Asymmetric Self-Play
Learning to Drive via Asymmetric Self-Play
Chris Zhang
Sourav Biswas
Kelvin Wong
Kion Fallah
Lunjun Zhang
Dian Chen
Sergio Casas
R. Urtasun
42
0
0
26 Sep 2024
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
69
0
0
21 Sep 2024
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with
  Next-Patch Prediction
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction
Zikang Zhou
Haibo Hu
Xinhong Chen
Jianping Wang
Nan Guan
Kui Wu
Yung-Hui Li
Yu-Kai Huang
Chun Jason Xue
AI4CE
31
17
0
27 May 2024
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving
  with Reactive, Realistic, and Diverse Non-Playable Characters
TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
J. Lavington
Ke Zhang
Vasileios Lioutas
Matthew Niedoba
Yunpeng Liu
...
Xiaoxuan Liang
Setareh Dabiri
Adam Scibior
Berend Zwartsenberg
Frank D. Wood
26
5
0
07 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
41
0
0
29 Apr 2024
CtRL-Sim: Reactive and Controllable Driving Agents with Offline
  Reinforcement Learning
CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning
Luke Rowe
Roger Girgis
Anthony Gosselin
Bruno Carrez
Florian Golemo
Felix Heide
Liam Paull
Christopher Pal
38
4
0
29 Mar 2024
Human-compatible driving partners through data-regularized self-play
  reinforcement learning
Human-compatible driving partners through data-regularized self-play reinforcement learning
Daphne Cornelisse
Eugene Vinitsky
35
6
0
28 Mar 2024
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic
  Simulation
LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation
Haojie Xin
Xiaodong Zhang
Renzhi Tang
Songyang Yan
Qianrui Zhao
Chunze Yang
Wen Cui
Zijiang Yang
50
0
0
07 Mar 2024
Towards learning-based planning:The nuPlan benchmark for real-world
  autonomous driving
Towards learning-based planning:The nuPlan benchmark for real-world autonomous driving
Napat Karnchanachari
Dimitris Geromichalos
Kok Seang Tan
Nanxiang Li
Christopher Eriksen
...
N. Mehdipour
Gianmarco Bernasconi
Whye Kit Fong
Yiluan Guo
Holger Caesar
27
31
0
07 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
Categorical Traffic Transformer: Interpretable and Diverse Behavior
  Prediction with Tokenized Latent
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent
Yuxiao Chen
Sander Tonkens
Marco Pavone
25
9
0
30 Nov 2023
Resolving uncertainty on the fly: Modeling adaptive driving behavior as
  active inference
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference
Johan Engström
Ran Wei
Anthony D. McDonald
Alfredo Garcia
Matthew O'Kelly
Leif Johnson
50
6
0
10 Nov 2023
Scenario Diffusion: Controllable Driving Scenario Generation With
  Diffusion
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Ethan Pronovost
Meghana Reddy Ganesina
Noureldin Hendy
Zeyu Wang
Andres Morales
Kai Wang
Nicholas Roy
22
30
0
05 Nov 2023
Data-driven Traffic Simulation: A Comprehensive Review
Data-driven Traffic Simulation: A Comprehensive Review
Di Chen
Meixin Zhu
H. Yang
Xuesong Wang
Yinhai Wang
23
26
0
24 Oct 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
39
90
0
12 Oct 2023
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
MotionLM: Multi-Agent Motion Forecasting as Language Modeling
Ari Seff
Brian Cera
Dian Chen
Mason Ng
Aurick Zhou
Nigamaa Nayakanti
Khaled S. Refaat
Rami Al-Rfou
Benjamin Sapp
17
91
0
28 Sep 2023
Generating Transferable Adversarial Simulation Scenarios for
  Self-Driving via Neural Rendering
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering
Yasasa Abeysirigoonawardena
Kevin Xie
Chuhan Chen
Salar Hosseini
Ruiting Chen
Ruiqi Wang
Florian Shkurti
23
2
0
27 Sep 2023
Hierarchical Imitation Learning for Stochastic Environments
Hierarchical Imitation Learning for Stochastic Environments
Maximilian Igl
Punit Shah
Paul Mougin
S. Srinivasan
Tarun Gupta
Brandyn White
K. Shiarlis
Shimon Whiteson
OOD
17
2
0
25 Sep 2023
SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation
SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation
Ingrid Navarro
Jay Patrikar
Joao P. A. Dantas
Rohan Baijal
Ian Higgins
S. Scherer
Jean Oh
49
4
0
22 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
49
18
0
19 Sep 2023
UniSim: A Neural Closed-Loop Sensor Simulator
UniSim: A Neural Closed-Loop Sensor Simulator
Ze Yang
Yun Chen
Jingkang Wang
S. Manivasagam
Wei-Chiu Ma
A. Yang
R. Urtasun
30
187
0
03 Aug 2023
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous
  Vehicles' Riskiness
A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness
A. Zanardi
A. Censi
Margherita Atzei
L. D. Lillo
Emilio Frazzoli
14
1
0
02 Aug 2023
What Truly Matters in Trajectory Prediction for Autonomous Driving?
What Truly Matters in Trajectory Prediction for Autonomous Driving?
T. Phong
Haoran Wu
Cunjun Yu
Panpan Cai
Sifa Zheng
David Hsu
35
16
0
27 Jun 2023
Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents
  Challenge 2023
Multiverse Transformer: 1st Place Solution for Waymo Open Sim Agents Challenge 2023
Yu Wang
Tiebiao Zhao
Fan Yi
31
22
0
20 Jun 2023
Scaling Planning for Automated Driving using Simplistic Synthetic Data
Scaling Planning for Automated Driving using Simplistic Synthetic Data
Martin Stoll
Markus Mazzola
M.F. Dolgov
Jürgen Mathes
Nicolas Moser
11
2
0
30 May 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
The Waymo Open Sim Agents Challenge
The Waymo Open Sim Agents Challenge
Nico Montali
John Lambert
Paul Mougin
Alex Kuefler
Nick Rhinehart
...
Tristan Emrich
Zoey Yang
Shimon Whiteson
Brandyn White
Drago Anguelov
LLMAG
37
45
0
19 May 2023
Inverse Reinforcement Learning without Reinforcement Learning
Inverse Reinforcement Learning without Reinforcement Learning
Gokul Swamy
Sanjiban Choudhury
J. Andrew Bagnell
Zhiwei Steven Wu
21
33
0
26 Mar 2023
Editing Driver Character: Socially-Controllable Behavior Generation for
  Interactive Traffic Simulation
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation
Wei-Jer Chang
Chen Tang
Chenran Li
Yeping Hu
M. Tomizuka
Wei Zhan
73
10
0
24 Mar 2023
TrafficBots: Towards World Models for Autonomous Driving Simulation and
  Motion Prediction
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Zhejun Zhang
Alexander Liniger
Dengxin Dai
F. I. F. Richard Yu
Luc Van Gool
74
42
0
07 Mar 2023
Collision Avoidance Testing of the Waymo Automated Driving System
Collision Avoidance Testing of the Waymo Automated Driving System
Kristofer D. Kusano
Kurt Beatty
Scott Schnelle
Francesca Favaro
Cam Crary
Trent Victor
28
15
0
15 Dec 2022
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving
Q. Sun
Xin Huang
B. Williams
Hang Zhao
34
3
0
03 Nov 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous
  Driving
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving
Eli Bronstein
Mark Palatucci
Dominik Notz
Brandyn White
Alex Kuefler
...
Punit Shah
Evan Racah
Benjamin Frenkel
Shimon Whiteson
Drago Anguelov
33
58
0
18 Oct 2022
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface
  Reconstruction
A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction
Luobin Wang
Runlin Guo
Q. Vuong
Yuzhe Qin
Hao Su
Henrik I. Christensen
3DH
3DPC
20
17
0
06 Oct 2022
Learning from Demonstrations of Critical Driving Behaviours Using
  Driver's Risk Field
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field
Yurui Du
F. S. Acerbo
Jens Kober
Tong Duy Son
16
4
0
04 Oct 2022
Follow The Rules: Online Signal Temporal Logic Tree Search for Guided
  Imitation Learning in Stochastic Domains
Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains
J. J. Aloor
Jay Patrikar
Parv Kapoor
Jean Oh
S. Scherer
19
11
0
27 Sep 2022
BITS: Bi-level Imitation for Traffic Simulation
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
Yuxiao Chen
B. Ivanovic
Marco Pavone
12
80
0
26 Aug 2022
Nocturne: a scalable driving benchmark for bringing multi-agent learning
  one step closer to the real world
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world
Eugene Vinitsky
Nathan Lichtlé
Xiaomeng Yang
Brandon Amos
Jakob N. Foerster
OffRL
33
51
0
20 Jun 2022
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