It is expected that autonomous vehicles (AVs) and heterogeneous human-driven vehicles
(HVs) will coexist on the same road. The safety and reliability of AVs will depend on their …

Building autonomous vehicles (AVs) is a complex problem, but enabling them to operate in
the real world where they will be surrounded by human-driven vehicles (HVs) is extremely …

Despite the advances in the autonomous driving domain, autonomous vehicles (AVs) are
still inefficient and limited in terms of cooperating with each other or coordinating with …

In the near future, autonomous vehicles (AVs) may cohabit with human drivers in mixed
traffic. This cohabitation raises serious challenges, both in terms of traffic flow and individual …

In a multi-agent system (MAS), a social learning scheme allows independent agents to learn
through interactions with agents randomly selected from a pool. Such a scheme is important …

Autonomous vehicle (AV) navigation in the presence of Human-driven vehicles (HVs) is
challenging, as HVs continuously update their policies in response to AVs. In order to …

As increasing numbers of autonomous vehicles (AVs) are being deployed, it is important to
construct a multi-agent self-driving (MASD) system for navigating traffic flows of AVs. In an …

Autonomous vehicles trained through Multi-Agent Reinforcement Learning (MARL) have
shown impressive results in many driving scenarios. However, the performance of these …

The technology of Connected and Autonomous Vehicles (CAV) is a hot topic of
transportation systems, especially regarding platooning and the interaction with other road …

There may exist long-term mixed traffic that consists of human-driven vehicles (HDV) and
autonomous driving vehicles (ADV). Hence, a formidable challenge arises: the effective …