frknayk / Reinforcement-Learning-In-ControlLinks
Control with Deep Reinforcement Learning
☆15Updated 2 years ago
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
Sorting:
- ☆42Updated 2 years ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆38Updated last year
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆61Updated 2 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆33Updated 3 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆61Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆146Updated 2 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆188Updated last month
- Official implementation of "Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning"☆10Updated last year
- Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs class…☆93Updated 6 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 4 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆63Updated 8 months ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆53Updated 8 months ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- ☆16Updated 4 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆99Updated 3 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- A new Reinforcement Learning Environment☆36Updated 4 years ago
- Primal-Dual Policy Learning Simple Example☆15Updated 4 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 years ago
- A precocial reinforcement learning solution for HVAC control☆57Updated 5 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆66Updated 8 months ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated 2 years ago
- ☆22Updated 3 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆48Updated last year
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆27Updated 7 months ago
- This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Ker…☆34Updated 9 months ago
- A prototypical implementation of the recently proposed feasible sequential linear programming algorithm.☆15Updated 3 months ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆47Updated 4 years ago
- A Python tool for distributed model-based predictive control of energy suppy chains☆19Updated last year