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.
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Updated
Oct 15, 2023 - Python
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.
Machine Learning + Spacecraft Trajectory Optimisation
A library for research into legged critters
Gradient-based trajectory optimisation toolbox that speeds up trajectory optimisation by only computing dynamics derivatives at key-points with finite-differencing. Remainder of derivatives are approximated via interpolation.
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