Fitting a Q-learning model to rat behavioural data to identify whether subjective utility, unit cost and vigour cost differ for different impulsivity groups in rats on various reinforcement learning schedules (0%, 20%, 40%, 60%, 80%, 100%).
Using JuMP (Julia) for nonlinear mathematical optimisation.