Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
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Updated
Dec 13, 2022 - Julia
Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928
Official repo for the paper "SAGE: SLAM with Appearance and Geometry Prior for Endoscopy" (ICRA 2022)
Tutorial on Deep Declarative Networks
Collection of differentiable methods for robotics applications implemented with Pytorch.
A library for differentiable nonlinear optimization
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
Preliminary code for the paper "Learning Deterministic Surrogates for Robust Convex QCQPs".
Safe robot learning
Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automotaic Control Laboratory, ETH Zurich.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
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