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,☆35Updated last year
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆60Updated 2 years ago
- ☆14Updated last year
- Official implementation of "Real-time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning"☆10Updated last year
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆145Updated 2 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 3 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆58Updated 2 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆31Updated 3 years ago
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆185Updated 2 weeks ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆61Updated 6 months ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆64Updated 6 months ago
- Matlab Dynamics and Control☆42Updated 3 years ago
- A precocial reinforcement learning solution for HVAC control☆55Updated 4 years ago
- ☆17Updated 3 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs class…☆90Updated 6 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Reinforcement learning environments for process control applications.☆65Updated last week
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- A Python tool for distributed model-based predictive control of energy suppy chains☆17Updated last year
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆98Updated 3 years ago
- DarkGreyBox: An open-source data-driven python building thermal model inspired by Genetic Algorithms and Machine Learning☆44Updated last year
- The Machine Learning Optimizer☆104Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning☆15Updated last year
- 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
- LSTM_MPC(reactive distillation system)☆11Updated 5 years ago
- This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Ker…☆34Updated 7 months ago