Nature

Risk sensitive twin distributional critics with a lambda lower confidence bound for continuous control reinforcement learning

Off-policy actor–critic methods such as Twin Delayed Deep Deterministic Policy Gradient (TD3) are the workhorse of continuous-control reinforcement learning. However, they rely on scalar value ...
Nature

IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning

Edge–cloud computing has emerged as an important paradigm for modern Internet of Things (IoT) workflow applications, enabling low latency and on-demand resource allocation. In scenarios with ...