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Baiming Chen
ORCID
Publication Activity (10 Years)
Years Active: 2017-2022
Publications (10 Years): 18
Top Topics
Gaussian Processes
Path Planning
Dynamic Environments
Vision Sensors
Top Venues
CoRR
IROS
ICRA
IEEE Robotics Autom. Lett.
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Publications
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Baiming Chen
,
Xiang Chen
,
Qiong Wu
,
Liang Li
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios.
IEEE Trans. Intell. Transp. Syst.
23 (8) (2022)
Baiming Chen
,
Mengdi Xu
,
Liang Li
,
Ding Zhao
Delay-aware model-based reinforcement learning for continuous control.
Neurocomputing
450 (2021)
Wenhao Ding
,
Baiming Chen
,
Bo Li
,
Kim Ji Eun
,
Ding Zhao
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.
IEEE Robotics Autom. Lett.
6 (2) (2021)
Baiming Chen
,
Zuxin Liu
,
Jiacheng Zhu
,
Mengdi Xu
,
Wenhao Ding
,
Ding Zhao
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.
CoRR
(2021)
Baiming Chen
,
Zuxin Liu
,
Jiacheng Zhu
,
Mengdi Xu
,
Wenhao Ding
,
Liang Li
,
Ding Zhao
Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.
ICRA
(2021)
Mengdi Xu
,
Wenhao Ding
,
Jiacheng Zhu
,
Zuxin Liu
,
Baiming Chen
,
Ding Zhao
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.
CoRR
(2020)
Zuxin Liu
,
Hongyi Zhou
,
Baiming Chen
,
Sicheng Zhong
,
Martial Hebert
,
Ding Zhao
Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method.
CoRR
(2020)
Zuxin Liu
,
Baiming Chen
,
Hongyi Zhou
,
Guru Koushik
,
Martial Hebert
,
Ding Zhao
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.
CoRR
(2020)
Baiming Chen
,
Mengdi Xu
,
Liang Li
,
Ding Zhao
Delay-Aware Model-Based Reinforcement Learning for Continuous Control.
CoRR
(2020)
Wenhao Ding
,
Baiming Chen
,
Bo Li
,
Kim Ji Eun
,
Ding Zhao
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.
CoRR
(2020)
Mengdi Xu
,
Wenhao Ding
,
Jiacheng Zhu
,
Zuxin Liu
,
Baiming Chen
,
Ding Zhao
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.
NeurIPS
(2020)
Baiming Chen
,
Mengdi Xu
,
Zuxin Liu
,
Liang Li
,
Ding Zhao
Delay-Aware Multi-Agent Reinforcement Learning.
CoRR
(2020)
Wenhao Ding
,
Baiming Chen
,
Minjun Xu
,
Ding Zhao
Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method.
IROS
(2020)
Baiming Chen
,
Liang Li
Adversarial Evaluation of Autonomous Vehicles in Lane-Change Scenarios.
CoRR
(2020)
Zuxin Liu
,
Baiming Chen
,
Hongyi Zhou
,
Guru Koushik
,
Martial Hebert
,
Ding Zhao
MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.
IROS
(2020)
Qi Liu
,
Yahui Liu
,
Congzhi Liu
,
Baiming Chen
,
Wenhao Zhang
,
Liang Li
,
Xuewu Ji
Hierarchical Lateral Control Scheme for Autonomous Vehicle with Uneven Time Delays Induced by Vision Sensors.
Sensors
18 (8) (2018)
Baiming Chen
,
Ding Zhao
,
Huei Peng
Evaluation of automated vehicles encountering pedestrians at unsignalized crossings.
Intelligent Vehicles Symposium
(2017)
Baiming Chen
,
Ding Zhao
,
Huei Peng
Evaluation of Automated Vehicles Encountering Pedestrians at Unsignalized Crossings.
CoRR
(2017)