In general-sum games, the interaction of self-interested learning agents commonly leads to
socially worse outcomes, such as defectdefect in the iterated stag hunt (ISH). Previous works …

While various multi-agent reinforcement learning methods have been proposed in
cooperative settings, few works investigate how self-interested learning agents achieve …

The decision-making in a collision is sometimes ethical. For example, a driver needs to face
the decision dilemma of whether to crash into a pedestrian on the sidewalk or sacrifice the …

Autonomous Driving is one of the most fascinating and stimulating field in modern
engineering. While some partial autonomous cars already exist in the industrial market, they …

Electric Connected and Autonomous Vehicles (CAVs) that maximize energy efficiency can
be considered an integrated approach to meet the various trends, mainly green and digital …

This thesis explores multi-agent cooperative reinforcement learning using fuzzy systems.
Two main problems are studied: multi-agent systems learning altruism, and cooperative …

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 …