Pdbz199 / Koopman-RL-OldLinks
Data-driven Koopman control theory applied to reinforcement learning!
☆33Updated 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
Sorting:
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆47Updated 4 years ago
- ☆73Updated 7 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆148Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆76Updated last year
- ☆20Updated 5 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆11Updated 2 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Code for CDC2022 submission☆11Updated 5 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Koopman operator☆27Updated 5 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆14Updated last year
- Repository for Koopman based learning and nonlinear control☆49Updated 2 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated last year
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆75Updated 9 months ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆13Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 6 months ago
- Tube-Based Zonotopic Data Driven Predictive Control☆9Updated 2 years ago
- ☆14Updated 5 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆61Updated 2 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago