rbosh / ml-adpLinks
Approximate dynamic programming for stochastic optimal control in Pytorch
☆24Updated 2 years ago
Alternatives and similar repositories for ml-adp
Users that are interested in ml-adp are comparing it to the libraries listed below
Sorting:
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆44Updated 3 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- ☆79Updated 7 years ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆47Updated 5 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆34Updated 2 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆21Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆88Updated last year
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆29Updated 4 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆27Updated 3 years ago
- Adaptive dynamic programming☆145Updated 5 months ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆157Updated 5 years ago
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆145Updated 3 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆15Updated 2 years ago
- ☆15Updated last year
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆28Updated 4 years ago
- MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system☆32Updated 8 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆52Updated 6 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 4 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆19Updated 2 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Updated 2 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆12Updated 2 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆104Updated 4 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆23Updated 5 years ago
- Heuristic Dynamic Programming with Python☆14Updated 11 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆67Updated 2 years ago
- ☆32Updated 7 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆22Updated last year
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 5 years ago