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2110.13827
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Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization
26 October 2021
Zhenghao Peng
Quanyi Li
Ka-Ming Hui
Chunxiao Liu
Bolei Zhou
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Papers citing
"Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization"
10 / 10 papers shown
Title
Learning Occlusion-aware Decision-making from Agent Interaction via Active Perception
Jie Jia
Yiming Shu
Zhongxue Gan
Wenchao Ding
23
1
0
26 Sep 2024
Variational Offline Multi-agent Skill Discovery
Jiayu Chen
Bhargav Ganguly
Tian-Shing Lan
OffRL
58
1
0
26 May 2024
Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identification
Jiaqi Liu
Xiao Qi
Peng Hang
Jian Sun
16
4
0
19 Dec 2023
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework
Arshia Soltani Moakhar
Mohammad Azizmalayeri
Hossein Mirzaei
M. T. Manzuri
M. Rohban
16
2
0
15 Oct 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
22
334
0
17 Mar 2023
The OpenCDA Open-source Ecosystem for Cooperative Driving Automation Research
Runsheng Xu
Hao Xiang
Xu Han
Xin Xia
Zonglin Meng
Chia-Ju Chen
Jiaqi Ma
24
65
0
18 Jan 2023
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
17
175
0
22 Mar 2022
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li
Zhenghao Peng
Lan Feng
Qihang Zhang
Zhenghai Xue
Bolei Zhou
26
227
0
26 Sep 2021
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
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Sanmit Narvekar
Bei Peng
Matteo Leonetti
Jivko Sinapov
Matthew E. Taylor
Peter Stone
ODL
132
451
0
10 Mar 2020
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