frknayk / Reinforcement-Learning-In-Control
Control with Deep Reinforcement Learning
☆11Updated last year
Alternatives and similar repositories for Reinforcement-Learning-In-Control:
Users that are interested in Reinforcement-Learning-In-Control are comparing it to the libraries listed below
- ☆37Updated last year
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆50Updated 9 months ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆134Updated last year
- Enforcing robust control guarantees within neural network policies☆54Updated 3 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆33Updated last year
- Differentiable predictive control (DPC) policy optimization examples.☆51Updated last year
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆62Updated last year
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆20Updated last year
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆24Updated 9 months ago
- Adaptive control-oriented meta-learning for nonlinear systems☆60Updated 3 years ago
- ☆26Updated 3 years ago
- Code for the paper "Control Barriers in Bayesian Learning of System Dynamics"☆26Updated 2 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆52Updated 4 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆171Updated last year
- ☆52Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆40Updated 2 years ago
- Primal-Dual Policy Learning Simple Example☆14Updated 3 years ago
- Safe guaranteed exploration for non-linear systems☆15Updated last year
- ☆36Updated 2 years ago
- ☆70Updated 4 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆47Updated last month
- Meta-Reinforcement Learning for Spacecraft Proximity Operations Guidance and Control in Cislunar Space☆11Updated 5 months ago
- ☆22Updated 3 years ago