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Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates
Paper • 2212.00517 • Published • 1 -
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Paper • 2402.19275 • Published • 1 -
Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios
Paper • 2207.09259 • Published • 1
Jingxuan Yang (杨敬轩)
jxyang
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AI & ML interests
Dense deep (reinforcement) learning, which aims to address the curse of rarity for deep (reinforcement) learning.
Recent Activity
authored
a paper
22 days ago
Adaptive Testing Environment Generation for Connected and Automated
Vehicles with Dense Reinforcement Learning
authored
a paper
22 days ago
Adaptive Safety Evaluation for Connected and Automated Vehicles with
Sparse Control Variates
authored
a paper
22 days ago
Adaptive Testing for Connected and Automated Vehicles with Sparse
Control Variates in Overtaking Scenarios
Organizations
-
Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates
Paper • 2212.00517 • Published • 1 -
Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Paper • 2402.19275 • Published • 1 -
Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios
Paper • 2207.09259 • Published • 1
