morim3 / DeepKalmanFilterLinks
Pytorch Implementation of Deep Kalman Filter
☆12Updated 4 months 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…☆43Updated 6 years ago
- Simulation and testing of a torque vectoring controller for a 4WD electric vehicle☆10Updated 6 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Updated 5 years ago
- ☆22Updated 3 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 8 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 years ago
- Implementation of model predictive control using neural network model.☆26Updated last year
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆90Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆147Updated 2 years ago
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆17Updated 6 years ago
- PyTorch Implementation of Lusch et al DeepKoopman☆16Updated 3 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆158Updated 5 years ago
- ☆80Updated 7 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆85Updated 6 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆100Updated 4 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆20Updated 10 months ago
- A Learning-based Energy Management Framework and Benchmark for Electric Vehicles☆54Updated 2 years ago
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆14Updated 3 years ago
- DeeP-LCC for mixed traffic☆39Updated 2 years ago
- Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control (IEEE ICMLA 2023)☆26Updated last year
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆21Updated 3 years ago
- files for DDK☆12Updated 2 years ago
- Code associated with the paper 'Nonlinear Model Predictive Control Based on Constraint-Aware Particle Filtering/Smoothing' by I. Askari☆14Updated 4 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆57Updated 7 years ago
- Using PINN based MPC for motion planning for SDC and LSTM for pedestrain's trajectory prediction as dynamic obstacles☆51Updated 3 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆81Updated last year
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Updated 6 years ago
- Code and example associated with the paper 'Model Predictive Control of Nonlinear Latent Force Models: A Scenario-based Approach' by T. W…☆11Updated 3 years ago