frknayk / Reinforcement-Learning-In-Control
Control with Deep Reinforcement Learning
☆12Updated 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
Sorting:
- ☆39Updated last year
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆52Updated 2 weeks ago
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆23Updated 4 years ago
- Enforcing robust control guarantees within neural network policies☆53Updated 4 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆30Updated 2 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆53Updated last year
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆34Updated last year
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆136Updated 2 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆20Updated last year
- Starter code accompanying homework assignments from AA203: Optimal and Learning-Based Control.☆24Updated last week
- Automatic Tuning for Data-driven Model Predictive Control☆64Updated 2 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 4 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆62Updated 3 years ago
- Companion code for Closed-Loop Koopman Operator Approximation☆16Updated last year
- LAMPOS, a strategy-based solution approach for mp-MILPs for real-time mixed-integer MPC with sub-optimality quantification☆10Updated last year
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆22Updated last year
- Safe guaranteed exploration for non-linear systems☆16Updated last year
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆26Updated 2 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆86Updated 4 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆45Updated 4 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆91Updated 3 years ago
- A prototypical implementation of the recently proposed feasible sequential linear programming algorithm.☆16Updated last year
- Library for simulation of nonlinear control systems, control design, and Lyapunov-based learning.☆40Updated 2 years ago
- ☆15Updated 3 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- MPC package for solving optimal control problems☆14Updated 7 months ago