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Optimization code for active inverse learning in stackelberg trajectory games.

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active_inverse_stackelberg

Optimization code for active inverse learning in stackelberg trajectory games.

Usage

pursuit.jl and driver.jl run the pursuit game and driving assistant optimization games in Julia. pursuit_tb.jl and driver_tb.jl run the optimizations, then send the trajectories to simulated turtlebots in Gazebo. Ensure that the corresponding Gazebo simulation is running before starting the Julia scripts. See willward20/active_inverse_stackelberg_ros for details on running the Gazebo sim.

Depdendencies

Note that you will need a MOSEK license to run all code in this repository.

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Optimization code for active inverse learning in stackelberg trajectory games.

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