sisl / variational_koopman
Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" from IJCAI 2019.
☆37Updated 5 years ago
Alternatives and similar repositories for variational_koopman:
Users that are interested in variational_koopman are comparing it to the libraries listed below
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆44Updated 4 years ago
- Consistent Koopman Autoencoders☆69Updated last year
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control☆88Updated 3 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆90Updated 3 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 5 years ago
- ☆16Updated 4 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆29Updated last year
- Pytorch Implementation of Deep Kalman Filter☆9Updated 2 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 3 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆18Updated 2 years ago
- Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…☆11Updated last year
- A framework for neural network control of dynamical systems over graphs.☆57Updated 2 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆65Updated 6 years ago
- ☆43Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆66Updated 9 months ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆46Updated 3 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
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Experiment code for "Continuous-Time Model-Based Reinforcement Learning"☆50Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆10Updated last week
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆49Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- ☆36Updated 6 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆78Updated 5 years ago
- Code for CDC2022 submission☆11Updated this week
- Koopman Kernels for Learning Dynamical Systems from Trajectory Data☆24Updated last year
- ☆14Updated 4 years ago
- ☆21Updated 6 years ago