IEEE

DSDC-GCN: Decoupled Static-Dynamic Co-Occurrence Graph Convolutional Networks for Skeleton-Based Action Recognition

Abstract: The existing approaches for skeleton-based action recognition based on graph convolutional networks (GCNs) primarily emphasize the construction of human skeletal structure by leveraging ...
IEEE

Dynamic Historical Data-Based Reinforcement Learning for Pursuit–Evasion Games of Nonholonomic Vehicles With Input Saturation

Abstract: This article studies the pursuit–evasion game involving nonholonomic vehicles constrained by input saturation, aiming for the pursuer to intercept an evasive opponent. Unlike the previous ...