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…☆180Updated 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
- Safe robot learning☆101Updated last year
- ☆89Updated 2 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆171Updated 6 months ago
- Hamilton-Jacobi reachability analysis in JAX.☆157Updated last year
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆32Updated 2 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆139Updated 4 years ago
- Optimizing Dynamic Programming-Based Algorithms☆126Updated 3 months ago
- ☆58Updated 4 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆79Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆71Updated 2 years ago
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆176Updated last year
- 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
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆29Updated 3 years ago
- Formal Verification of Neural Feedback Loops (NFLs)☆82Updated last year
- Repository for Koopman based learning and nonlinear control☆51Updated 3 years ago
- constraint differential dynamical programming☆28Updated 3 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆56Updated 5 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆27Updated 6 months ago
- Soure code for Deep Koopman with Control☆98Updated 3 years ago
- ☆81Updated 7 months ago
- A python library for control from Signal Temporal Logic (STL) specifications☆52Updated 5 months ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆53Updated 7 months ago
- ☆76Updated last year
- ☆27Updated 4 years ago
- ☆42Updated 7 months ago
- This repo collets few LMPC examples coded in Python☆85Updated last year