rbosh / ml-adp
Approximate dynamic programming for stochastic optimal control in Pytorch
☆22Updated last year
Alternatives and similar repositories for ml-adp:
Users that are interested in ml-adp are comparing it to the libraries listed below
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆40Updated 2 years ago
- Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)☆11Updated 2 weeks ago
- A data-driven method for linear quadratic control with state and control constraints☆10Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆13Updated 2 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆14Updated last year
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆19Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆11Updated 2 weeks ago
- Gradient descent algorithms for LQG control☆14Updated 3 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆42Updated 4 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 4 years ago
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 4 years ago
- We present a new comparative study of the paper from Hansson and Boyd Robust Optimal Control of Linear Discrete-Time Systems using Primal…☆13Updated 4 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆15Updated last year
- MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system☆30Updated 7 years ago
- Approximate Dynamic Programming and Reinforcement Learning - Programming Assignment☆10Updated 5 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 2 years ago
- ☆16Updated last year
- ☆13Updated last year
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆18Updated 3 months ago
- Optimal Turn-Right Trajectory using Pontryagin's Maximum Principle☆12Updated last year
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆27Updated 5 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆22Updated 4 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆11Updated last year
- ☆14Updated 4 years ago
- This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…☆12Updated 3 years ago
- ☆16Updated 2 years ago