Many real-world problems such as industrial production planning 1,2, traffic signal control 3,4, military strategic decision-making 5,6 and energy management of hybrid electric vehicles 7 can be ...

This course covers reinforcement learning aka dynamic programming, which is a modeling principle capturing dynamic environments and stochastic nature of events. The main goal is to learn dynamic ...

The exponential growth of Internet of Things (IoT) deployments demands fog computing architectures that position computational resources at the network edge to ensure low-latency processing. However, ...