morim3 / DeepKalmanFilterLinks
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
Sorting:
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆40Updated 6 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.☆73Updated last year
- Data-driven Koopman control theory applied to reinforcement learning!☆32Updated last year
- PyTorch Implementation of Lusch et al DeepKoopman☆13Updated 2 years ago
- ☆72Updated 7 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆92Updated 3 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆140Updated 2 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"☆24Updated 4 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Repository for Koopman based learning and nonlinear control☆43Updated 2 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Updated 4 months ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆28Updated 2 years ago
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆16Updated 6 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Neural Extended Kalman Filters☆14Updated last year
- ☆14Updated last year
- Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"☆10Updated last year
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- ☆19Updated 5 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- ☆14Updated 3 months ago
- Continuous-time system identification with neural networks☆25Updated 3 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆16Updated last year
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆54Updated 3 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago