wanxinjin / Safe-PDPLinks
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.
☆71Updated 3 years ago
Alternatives and similar repositories for Safe-PDP
Users that are interested in Safe-PDP are comparing it to the libraries listed below
Sorting:
- A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, contr…☆182Updated 2 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- ☆58Updated 4 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆34Updated 3 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆174Updated 8 months ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆144Updated 4 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆81Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆72Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- Robot Controls Course Project☆62Updated 4 years ago
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- ☆92Updated 2 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆29Updated 3 years ago
- ☆27Updated 4 years ago
- Optimizing Dynamic Programming-Based Algorithms☆130Updated 5 months ago
- Safe robot learning☆105Updated last year
- constraint differential dynamical programming☆28Updated 3 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆27Updated 8 months ago
- Repository for Koopman based learning and nonlinear control☆52Updated 3 years ago
- Hamilton-Jacobi reachability analysis in JAX.☆168Updated last year
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆180Updated last year
- Soure code for Deep Koopman with Control☆105Updated 3 years ago
- A python library for control from Signal Temporal Logic (STL) specifications☆55Updated 7 months ago
- ☆66Updated last year
- ☆24Updated last year
- Neural Koopman Lyapunov Control☆26Updated 2 years ago
- Implementation and examples from Trajectory Optimization with Optimization-Based Dynamics https://arxiv.org/abs/2109.04928☆66Updated 3 years ago
- WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch☆15Updated last year
- Robust Online Motion Planning using Contraction Theory☆63Updated 7 years ago
- ☆31Updated 4 years ago