wgshen / sOED
Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for sOED
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆39Updated 2 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆13Updated last year
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆14Updated 5 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆19Updated 2 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆37Updated 4 years ago
- ☆29Updated 5 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆11Updated last year
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆43Updated 5 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆45Updated last year
- Use deep learning to learn Koopman operator and LQR for optimal control☆15Updated 4 years ago
- ☆57Updated 6 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆76Updated 5 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆39Updated 3 years ago
- ☆11Updated 9 months ago
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆12Updated 4 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆46Updated 5 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆40Updated 5 years ago
- Approximate dynamic programming for stochastic optimal control in Pytorch☆22Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆12Updated last year
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆42Updated 4 years ago
- Code and example associated with the paper 'Model Predictive Control of Nonlinear Latent Force Models: A Scenario-based Approach' by T. W…☆9Updated 2 years ago
- MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system☆28Updated 6 years ago
- ☆42Updated 3 years ago
- ☆11Updated 8 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆20Updated 2 years ago
- A data-driven method for linear quadratic control with state and control constraints☆8Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆24Updated 5 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆23Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆13Updated 2 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆45Updated 6 years ago