The design of feedback controllers is undergoing a paradigm shift from modelic (ie, model-
driven) control to datatic (ie, data-driven) control. Canonical form of state space model is an …

To ensure safe and efficient deployment in real world, autonomous vehicles (AVs) need to
deal with complex interactions. This study deduced the rudiment of a meta decision-making …

Solving Hamilton-Jacobi-Isaacs (HJI) PDEs numerically enables equilibrial feedback control
in two-player differential games, yet faces the curse of dimensionality (CoD). While physics …

This paper presents an interaction-aware motion planning and control framework for time-
critical traffic scenarios in which interaction with vehicles driven by humans is required. For …

Urban driving is a challenging task that requires autonomous agents to account for the
stochastic dynamics and interactions with other vehicles. In this paper, we propose a novel …

In this paper, we present a method for finding approximate Nash equilibria in a broad class
of reachability games. These games are often used to formulate both collision avoidance …

As environments involving both robots and humans become increasingly common, so does
the need to account for people during planning. To plan effectively, robots must be able to …

Multi-player games with lexicographic cost functions can capture a variety of driving and
racing scenarios and are known to have pure-strategy Nash Equilibria (NE) under certain …

Environments with multi-agent interactions often result a rich set of modalities of behavior
between agents due to the inherent suboptimality of decision making processes when …

Non-cooperative interactions commonly occur in multi-agent scenarios such as car racing,
where an ego vehicle can choose to overtake the rival, or stay behind it until a safe …