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Emergent Road Rules In Multi-Agent Driving Environments
v1v2 (latest)

Emergent Road Rules In Multi-Agent Driving Environments

International Conference on Learning Representations (ICLR), 2020
21 November 2020
Avik Pal
Jonah Philion
Yuan-Hong Liao
Sanja Fidler
ArXiv (abs)PDFHTML

Papers citing "Emergent Road Rules In Multi-Agent Driving Environments"

5 / 5 papers shown
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 worldNeural Information Processing Systems (NeurIPS), 2022
Eugene Vinitsky
Nathan Lichtlé
Xiaomeng Yang
Brandon Amos
Jakob N. Foerster
OffRL
544
68
0
20 Jun 2022
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic
  Prior
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior
Davis Rempe
Jonah Philion
Leonidas Guibas
Sanja Fidler
Or Litany
284
188
0
09 Dec 2021
Learning to Simulate Self-Driven Particles System with Coordinated
  Policy Optimization
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
305
81
0
26 Oct 2021
MetaDrive: Composing Diverse Driving Scenarios for Generalizable
  Reinforcement Learning
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
571
391
0
26 Sep 2021
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement
  Learning
End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning
Alessandro Paolo Capasso
Paolo Maramotti
Anthony DellÉva
A. Broggi
390
21
0
28 Apr 2021
1
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