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control-learning

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wanxinjin / Pontryagin-Differentiable-Programming

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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-learning trajectory-optimisation motion-planning dynamical-systems control-systems trajectory-optimization optimal-control system-identification imitation-learning inverse-reinforcement-learning end-to-end-learning control-learning differentiable-programming reinforcement-learning-environments learning-control pontryagin-maximum-principle
  • Updated Oct 15, 2023
  • Python

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