Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Exploring Learning and Optimization for Robot Motion Planning and Control.