Abstract The Stackelberg Security Game (SSG) model has been immensely influential in
security research since it was introduced roughly a decade ago. Furthermore, deployed SSG …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

Abstract Decision-Focused Learning (DFL) is a paradigm for tailoring a predictive model to a
downstream optimization task that uses its predictions in order to perform better\textit {on that …

Opponent modeling is the ability to use prior knowledge and observations in order to predict
the behavior of an opponent. This survey presents a comprehensive overview of existing …

Designing intelligent agents that interact proficiently with people necessitates the prediction
of human decision-making. We present and discuss three prediction paradigms for …

Between 1960 and 1990, 95% of the black rhino population in the world was killed. In South
Africa, a rhino was killed every 8 h for its horn throughout 2016. Wild animals, rhinos and …

We introduce the framework of performative reinforcement learning where the policy chosen
by the learner affects the underlying reward and transition dynamics of the environment …

Illegal wildlife poaching threatens ecosystems and drives endangered species toward
extinction. However, efforts for wildlife protection are constrained by the limited resources of …

Illegal harvest (poaching) and habitat loss are two of the greatest threats to wildlife. While, in
theory, protected areas can alleviate populations from these threats, they must be managed …

Allocating resources to defend targets from attack is often complicated by uncertainty about
the attacker's capabilities, objectives, or other underlying characteristics. In a repeated …