wanxinjin / Pontryagin-Differentiable-ProgrammingLinks
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
☆180Updated 2 years ago
Alternatives and similar repositories for Pontryagin-Differentiable-Programming
Users that are interested in Pontryagin-Differentiable-Programming are comparing it to the libraries listed below
Sorting:
- Safe Pontryagin Differentiable Programming (Safe PDP) is a new theoretical and algorithmic safe differentiable framework to solve a broad…☆71Updated 3 years ago
- Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.☆171Updated 6 months ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆139Updated 4 years ago
- Optimizing Dynamic Programming-Based Algorithms☆127Updated 3 months ago
- Hamilton-Jacobi reachability analysis in JAX.☆159Updated last year
- Toolkit for learning controllers based on robust control Lyapunov barrier functions☆175Updated last year
- ☆90Updated 2 years ago
- ☆309Updated 2 years ago
- Soure code for Deep Koopman with Control☆99Updated 3 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
- MPC with Gaussian Process☆228Updated 6 years ago
- Safe robot learning☆101Updated last year
- Safe Exploration with MPC and Gaussian process models☆89Updated 5 years ago
- Model-based Control using Koopman Operators☆57Updated 5 years ago
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆32Updated 3 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆146Updated 2 years ago
- Lyapunov-stable Neural Control for State and Output Feedback☆81Updated last year
- Use PyTorch Models with CasADi and Acados☆241Updated 2 years ago
- Codes for designing Neural Contraction Metrics (NCMs)☆34Updated 5 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆188Updated last month
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆226Updated 4 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆70Updated 4 years ago
- The reimplementation of Model Predictive Path Integral (MPPI) from the paper "Information Theoretic MPC for Model-Based Reinforcement Lea…☆104Updated 5 months ago
- ☆27Updated 4 years ago
- ☆58Updated 4 years ago
- ☆76Updated last year
- Formal Verification of Neural Feedback Loops (NFLs)☆82Updated last year
- ☆83Updated 7 months ago
- ☆14Updated 2 years ago
- Repository for Koopman based learning and nonlinear control☆51Updated 3 years ago