frknayk / Reinforcement-Learning-In-ControlLinks
Control with Deep Reinforcement Learning
☆14Updated 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:
- ☆41Updated 2 years ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆35Updated last year
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆184Updated last year
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆31Updated 2 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated 2 years ago
- Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs class…☆88Updated 6 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆144Updated 2 years ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 5 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆52Updated 4 months ago
- A precocial reinforcement learning solution for HVAC control☆55Updated 4 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆19Updated 3 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆47Updated last year
- CAMMARL: Conformal Action Modeling in Multi Agent Reinforcement Learning☆15Updated last year
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆63Updated 4 months ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆92Updated 3 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆57Updated 3 years ago
- ☆53Updated 3 months ago
- Reinforcement learning environments for process control applications.☆61Updated 2 months ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆61Updated 5 months ago
- ☆74Updated 5 years ago
- ☆31Updated 10 months ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆27Updated 3 years ago
- Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.☆129Updated last week
- This project deals with learning to reproduce the input-output behavior of state-space models using recurrent neural networks and the Ker…☆34Updated 5 months ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆118Updated last year