Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
Paper
•
2402.19275
•
Published
•
1
Jingxuan Yang (杨敬轩)
jxyang
·
AI & ML interests
Dense deep (reinforcement) learning, which aims to address the curse of rarity for deep (reinforcement) learning.
Recent Activity
authored
a paper
about 2 months ago
Adaptive Testing Environment Generation for Connected and Automated
Vehicles with Dense Reinforcement Learning
authored
a paper
about 2 months ago
Adaptive Safety Evaluation for Connected and Automated Vehicles with
Sparse Control Variates
authored
a paper
about 2 months ago
Adaptive Testing for Connected and Automated Vehicles with Sparse
Control Variates in Overtaking Scenarios
Organizations
authored
3
papers
about 2 months ago