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1. Pontryagin-Differentiable-Programming Pontryagin-Differentiable-Programming Public

   Forked from wanxinjin/Pontryagin-Differentiable-Programming

   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.

   Python

2. Safe-PDP Safe-PDP Public

   Forked from wanxinjin/Safe-PDP

   Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad class of safety-critical learning and control tasks.

   Python

3. Learning-from-Sparse-Demonstrations Learning-from-Sparse-Demonstrations Public

   Forked from wanxinjin/Learning-from-Sparse-Demonstrations

   A framework and method to jointly learn a (neural) control objective function and a time-warping function only from sparse demonstrations or waypoints.

   Python

4. Review-of-Medical-Datasets Review-of-Medical-Datasets Public

   Forked from zfowler3/Review-of-Medical-Datasets

5. arthursn138.github.io arthursn138.github.io Public

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6. stable-baselines3 stable-baselines3 Public

   Forked from DLR-RM/stable-baselines3

   PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

   Python