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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.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.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.Task-Driven-Hybrid-Reduction
We developed a task-driven hybrid model reduction method for solving dexterous manipulation with 5 minutes of online learning.Learning-from-Directional-Corrections
A new method for a robot to learn a control objective from human user's directional corrections.IOC-from-Incomplete-Trajectory-Observations
Inverse optimal control from incomplete trajectory observations, proposing the concept of the recovery matrix which provides further insights into objective learning process.wanxinjin.github.io
IOC-for-Multiphase-Cost-Functions
A method to learn multi-phase objective functions, and the method is able to not only recover the objective function in each phase but also identify the phase transition points.Love Open Source and this site? Check out how you can help us