IEEE

Label Guided Graph Optimized Convolutional Network for Semi-Supervised Learning

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
IEEE

High-Speed Racing Reinforcement Learning Network: Learning the Environment Using Scene Graphs

Abstract: High-speed path planning is a real-time task that requires vehicles to operate at the edge of their performance limits and holds significant practical importance. However, the significant ...