Pinned

1. Safe-PDP Public

   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 13 1

2. Pontryagin-Differentiable-Programming Public

   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 54 5

3. Learning-from-Directional-Corrections Public

   A new method for a robot to learn a control objective from human user's directional corrections.

   Python 4 2

4. Learning-from-Sparse-Demonstrations Public

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

   Python 5 2

5. IOC-from-Incomplete-Trajectory-Observations Public

   Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.

   MATLAB 5 1

6. Learning-LCS Public

   Forked from DAIRLab/Learning-LCS

   A new learning formulation/method to learn/identify a piecewise linear system, also named as linear complementarity system.

   Python 1