frknayk / Reinforcement-Learning-In-Control
Control with Deep Reinforcement Learning
☆7Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Reinforcement-Learning-In-Control
- ☆35Updated last year
- DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control☆22Updated 4 years ago
- ☆35Updated last year
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆129Updated last year
- Enforcing robust control guarantees within neural network policies☆52Updated 3 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
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆15Updated 2 years ago
- AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control☆29Updated 2 years ago
- A Neural Network Approach for Real-Time High-Dimensional Optimal Control☆25Updated 2 years ago
- Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,☆30Updated 9 months ago
- Accelerating Quadratic Optimization with Reinforcement Learning☆87Updated 3 years ago
- This is a self-contained repository to explain two basic Reinforcement (RL) algorithms.☆75Updated last month
- Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.☆47Updated 6 months ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆16Updated 2 years ago
- Run MPC-based policies and train RL agents in gym-anm environments using implementations from Stable Baselines 3.☆11Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆57Updated last year
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆20Updated 10 months ago
- Pytorch implementation of Model Predictive Control with learned models☆28Updated 4 years ago
- ☆38Updated last year
- A PyTorch library for all things nonlinear control and reinforcement learning.☆44Updated 3 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆76Updated 5 years ago
- Online variational GPs☆30Updated last year
- HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problem…☆164Updated 11 months ago
- Reduced Order Model Predictive Control☆18Updated 2 years ago
- ☆67Updated 4 years ago
- Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …☆13Updated last year
- ☆15Updated 3 years ago
- Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control☆44Updated 2 years ago
- ☆26Updated 3 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆47Updated last year