Pdbz199 / Koopman-RL-Old
Data-driven Koopman control theory applied to reinforcement learning!
☆30Updated last year
Alternatives and similar repositories for Koopman-RL-Old:
Users that are interested in Koopman-RL-Old are comparing it to the libraries listed below
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- ☆66Updated 6 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆69Updated 10 months ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Code for CDC2022 submission☆11Updated last month
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆10Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆25Updated 2 years ago
- ☆17Updated 4 years ago
- Koopman operator☆27Updated 5 years ago
- ☆13Updated last year
- ☆23Updated 3 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆20Updated 3 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆39Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 4 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆87Updated 4 years ago
- Learning-Based Efficient Approximation of Data-enabled Predictive Control☆11Updated 11 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆14Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆19Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆13Updated last year
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Updated 3 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆80Updated 5 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆38Updated 5 years ago