tony23545 / DeepKoopman
Use deep learning to learn Koopman operator and LQR for optimal control
☆15Updated 4 years ago
Alternatives and similar repositories for DeepKoopman:
Users that are interested in DeepKoopman are comparing it to the libraries listed below
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆44Updated 4 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆9Updated 2 months ago
- Neural Koopman Lyapunov Control☆21Updated last year
- Soure code for Deep Koopman with Control☆69Updated 2 years ago
- ☆17Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆38Updated 2 years ago
- Safety-aware MPC-based RL framework☆51Updated 2 months 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
- ☆15Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆23Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆46Updated 5 years ago
- ☆22Updated 3 years ago
- We learn the dynamics model of a robot using a physics-informed neural network and use it to train a model-based RL algorithm.☆33Updated 7 months ago
- ☆13Updated 7 months ago
- Code for CDC2022 submission☆11Updated 5 months ago
- Automatic Tuning for Data-driven Model Predictive Control☆61Updated last year
- ☆45Updated last month
- This is a python repo that implements control barrier function quadratic programming method.☆12Updated 3 years ago
- ☆64Updated 6 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆13Updated last year
- Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifical…☆43Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆29Updated 4 years ago
- ☆11Updated last year
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆26Updated 2 years ago
- Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.☆20Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆23Updated last year
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆19Updated 2 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