morim3 / DeepKalmanFilter
Pytorch Implementation of Deep Kalman Filter
☆9Updated 2 years ago
Alternatives and similar repositories for DeepKalmanFilter:
Users that are interested in DeepKalmanFilter are comparing it to the libraries listed below
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆69Updated 10 months ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆52Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆90Updated 3 years ago
- ☆68Updated 6 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
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆49Updated last year
- ☆13Updated last year
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆11Updated last month
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Model-based Control using Koopman Operators☆51Updated 4 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆80Updated 4 years ago
- Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling☆46Updated 3 years ago
- Consistent Koopman Autoencoders☆71Updated last year
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- ☆15Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆39Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆26Updated 2 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆14Updated last year
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆20Updated 3 years ago