Differentiable trajectory optimization in Julia.

Rapidly designing and solving differential games in Julia.

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?

Core interface to design, solve, and simulate trajectory games.

Planning with inferred internal states of other players in general-sum differential games.

Mixed complementarity problems parameterized by a "runtime"-parameter vector with support for implicit differentiation.

Example environments and tools for the TrajectoryGamesBase interface.