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BARK: Open Behavior Benchmarking in Multi-Agent Environments

BARK: Open Behavior Benchmarking in Multi-Agent Environments

5 March 2020
Julian Bernhard
Klemens Esterle
Patrick Hart
Tobias Kessler
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Papers citing "BARK: Open Behavior Benchmarking in Multi-Agent Environments"

11 / 11 papers shown
Title
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
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Scene-Extrapolation: Generating Interactive Traffic Scenarios
Maximilian Zipfl
barbara Schutt
J. Marius Zöllner
27
0
0
26 Apr 2024
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
Axel Brunnbauer
Luigi Berducci
P. Priller
D. Ničković
Radu Grosu
40
1
0
26 Mar 2024
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
37
3
0
03 Nov 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
19
34
0
31 Mar 2022
An Introduction to Multi-Agent Reinforcement Learning and Review of its
  Application to Autonomous Mobility
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility
Lukas M. Schmidt
Johanna Brosig
Axel Plinge
Bjoern M. Eskofier
Christopher Mutschler
28
33
0
15 Mar 2022
A Utility Maximization Model of Pedestrian and Driver Interactions
A Utility Maximization Model of Pedestrian and Driver Interactions
Yi-Shin Lin
Aravinda Ramakrishnan Srinivasan
Matteo Leonetti
J. Billington
Gustav Markkula
18
4
0
21 Oct 2021
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
TIP: Task-Informed Motion Prediction for Intelligent Vehicles
Xin Huang
Guy Rosman
A. Jasour
Stephen G. McGill
J. Leonard
B. Williams
37
15
0
17 Oct 2021
A Reinforcement Learning Benchmark for Autonomous Driving in
  Intersection Scenarios
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
Yuqi Liu
Qichao Zhang
Dongbin Zhao
OffRL
75
13
0
22 Sep 2021
Risk-Constrained Interactive Safety under Behavior Uncertainty for
  Autonomous Driving
Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
Julian Bernhard
Alois Knoll
29
7
0
05 Feb 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
134
193
0
19 Oct 2020
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