Many problems in robotics involve multiple decision making agents. To operate efficiently in
such settings, a robot must reason about the impact of its decisions on the behavior of other …

Min-max formulations have attracted great attention in the ML community due to the rise of
deep generative models and adversarial methods, while understanding the dynamics of …

We propose projection-free sequential algorithms for linear-quadratic dynamics games.
These policy gradient based algorithms are akin to Stackelberg leadership model and can …

Recent successes of game-theoretic formulations in ML have caused a resurgence of
research interest in differentiable games. Overwhelmingly, that research focuses on …

In many settings where multiple agents interact, the optimal choices for each agent depend
heavily on the choices of the others. These coupled interactions are well-described by a …

We propose local symplectic surgery, a two-timescale procedure for finding local Nash
equilibria in two-player zero-sum games. We first show that previous gradient-based …

This paper studies a 3D multiplayer reach-avoid differential game with a goal region and a
play region. Multiple pursuers defend the goal region by consecutively capturing multiple …

We propose an iterated version of Nesterov's first-order smoothing method for the two-
person zero-sum game equilibrium problem x ∈ Q_1 y ∈ Q_2 x^\rm T Ay= y ∈ Q_2 x ∈ …

We introduce Crocoddyl (Contact RObot COntrol by Differential DYnamic Library), an open-
source framework tailored for efficient multi-contact optimal control. Crocoddyl efficiently …

Pursuit and evasion conflicts represent challenging problems with important applications in
aerospace and robotics. In pursuit-evasion problems, synthesis of intelligent actions must …