rbosh / ml-adpLinks
Approximate dynamic programming for stochastic optimal control in Pytorch
☆23Updated 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:
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 6 years ago
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆43Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆26Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆15Updated 2 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆46Updated 4 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Source code for examples in Book "Robust Adaptive Dynamic Programming"☆142Updated 2 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆97Updated 4 years ago
- A data-driven method for linear quadratic control with state and control constraints☆12Updated 2 years ago
- Linear Model Predictive Control (MPC) examples using Matlab and CVX☆17Updated 9 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆14Updated 3 years ago
- Codes for "Quantitative Comparison of Reinforcement Learning and Data-driven Model Predictive Control for Chemical and Biological Process…☆11Updated last year
- Python library that implements DeePC: Data-Enabled Predictive Control☆78Updated 11 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…☆13Updated 5 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆17Updated 2 years ago
- Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)☆12Updated 5 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated 2 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆50Updated 6 years ago
- simulation tool for Model Predictive Control (MPC) and Distributed MPC, in Python☆26Updated 8 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆117Updated 3 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆53Updated 6 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 3 years ago
- Adaptive dynamic programming☆128Updated last month
- H_inf tracking control for linear discrete-time systems using ADP☆10Updated 5 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆21Updated 9 months ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆19Updated 3 years ago
- ☆24Updated last year