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.
☆70Updated 2 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…☆176Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆64Updated 4 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆70Updated last year
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆134Updated 4 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆69Updated last year
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆30Updated 2 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆162Updated last month
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆168Updated last year
- Hamilton-Jacobi reachability analysis in JAX.☆138Updated 8 months ago
- Safe robot learning☆91Updated 7 months ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆28Updated 2 years ago
- ☆56Updated 3 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆67Updated 2 years ago
- Optimizing Dynamic Programming-Based Algorithms☆118Updated last week
- Soure code for Deep Koopman with Control☆87Updated 3 years ago
- ☆87Updated 2 years ago
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆25Updated last month
- ☆24Updated 4 years ago
- constraint differential dynamical programming☆28Updated 2 years ago
- Robot Controls Course Project☆61Updated 3 years ago
- A python library for control from Signal Temporal Logic (STL) specifications☆46Updated last month
- Repository for Koopman based learning and nonlinear control☆45Updated 2 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- PyTorch Official Implementation of CoRL 2023 Paper: Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-a…☆33Updated last year
- ☆21Updated last year
- ☆71Updated last year
- ☆72Updated 2 months ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- ☆28Updated 3 years ago