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04/09/2023
Variational operator learning: A unified paradigm for training neural operators and solving partial differential equations
Based on the variational method, we propose a novel paradigm that provid...
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02/28/2022
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud
Environment perception including detection, classification, tracking, an...
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01/19/2022
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections
Taking advantage of both vehicle-to-everything (V2X) communication and a...
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01/24/2020
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
This paper presented a deep reinforcement learning method named Double D...
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11/08/2019