A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
reinforcement-learningtrajectory-optimisationmotion-planningdynamical-systemscontrol-systemstrajectory-optimizationoptimal-controlsystem-identificationimitation-learninginverse-reinforcement-learningend-to-end-learningcontrol-learningdifferentiable-programmingreinforcement-learning-environmentslearning-controlpontryagin-maximum-principle
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Updated
Jul 16, 2026 - Python