The integrated sensing, communication, and computing (ISCC) network, as a core direction of the sixth-generation mobile communication system, provides a key enabling technology for efficient collaboration in future intelligent networks by deeply integrating communication, sensing, and computing capabilities. However, the dynamic management and joint optimization of multi-dimensional heterogeneous resources in ISCC networks face severe challenges such as high-dimensional state spaces, tightly coupled constraints, and time-varying environments. Traditional optimization methods struggle to achieve both real-time performance and optimality. Deep reinforcement learning (DRL), with its end-to-end... More >