No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

Recent years have witnessed significant advances in reinforcement learning (RL), which
has registered tremendous success in solving various sequential decision-making problems …

This paper discusses a tri-layer non-cooperative energy trading approach among multiple
grid-tied multi-energy microgrids (MEMGs) in the restructured integrated energy market. The …

Following the remarkable success of the AlphaGO series, 2019 was a booming year that
witnessed significant advances in multi-agent reinforcement learning (MARL) techniques …

Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

The prompt evolution of Internet of Medical Things (IoMT) promotes pervasive in-home
health monitoring networks. However, excessive requirements of patients result in …

Edge Computing provides mobile and Internet-of-Things (IoT) app vendors with a new
distributed computing paradigm which allows an app vendor to deploy its app at hired edge …

Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …

Driven by the increasing demand of real-time mobile application processing, Multi-access
Edge Computing (MEC) has been envisioned as a promising paradigm for pushing …