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.☆41Updated 2 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆42Updated 4 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
- Repository collecting the code for papers and projects at our control group at University of Salerno (lead contact: Giovanni Russo)☆12Updated 2 weeks ago
- Approximate Dynamic Programming exercises from Powell (2011)☆14Updated 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
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Proof of concept example for the idea of using distributed model predictive control as a function approximator in distributed reinforceme…☆13Updated last month
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆28Updated 5 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆20Updated 2 years ago
- A data-driven method for linear quadratic control with state and control constraints☆11Updated 2 years ago
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆13Updated 2 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆85Updated 4 years ago
- ☆13Updated last year
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Approximate Dynamic Programming and Reinforcement Learning - Programming Assignment☆10Updated 5 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 5 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆11Updated 2 years ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- ☆16Updated last year
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆21Updated 3 years ago
- ☆9Updated 7 years ago
- ☆45Updated 3 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 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
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆51Updated 2 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆59Updated 6 months ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year