risk-sensitive-reachability / ToolboxLSLinks
Clone of Ian M. Mitchell's ToolboxLS repository. (https://bitbucket.org/ian_mitchell/toolboxls)
☆14Updated 5 years ago
Alternatives and similar repositories for ToolboxLS
Users that are interested in ToolboxLS are comparing it to the libraries listed below
Sorting:
- Hamilton-Jacobi reachability analysis in JAX.☆138Updated 8 months ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆181Updated last year
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆163Updated last month
- Optimizing Dynamic Programming-Based Algorithms☆118Updated last week
- Adaptive control-oriented meta-learning for nonlinear systems☆64Updated 4 years ago
- ☆87Updated 2 years ago
- Enforcing robust control guarantees within neural network policies☆54Updated 4 years ago
- Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimizati…☆18Updated 4 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆67Updated 2 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆176Updated last year
- Neural Networks with CasADi☆10Updated 3 months ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- ☆24Updated 4 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated last year
- Minimal package for operations on polytopes, zonotopes, and invariant sets.☆46Updated 4 years ago
- A few simple tutorials for dynamical systems and control. Most require Matlab.☆107Updated 9 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆25Updated last month
- SLSpy provides a Python-based framework to design and simulate model-based control systems, especially for system level synthesis (SLS) m…☆17Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆51Updated 2 months ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆40Updated last month
- Library for nonconvex constrained optimization using the augmented Lagrangian method and the matrix-free PANOC algorithm.☆78Updated 6 months ago
- Soure code for Deep Koopman with Control☆87Updated 3 years ago
- Exercise solutions for Daniel Liberzon's "Calculus of Variations and Optimal Control Theory: A Concise Introduction" book and other optim…☆24Updated 3 years ago
- ☆60Updated 11 months ago
- constraint differential dynamical programming☆28Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Python simulation and hardware library for learning and control☆20Updated 2 years ago