JaeyoungLee-UoA / PIs-for-RL-Problems-in-CTS
This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S. Sutton (2021) Policy Iterations for Reinforcement Learning Problems in Continuous Time and Space -- Fundamental Theory and Methods, Automatica, vol. 126, 109421."
☆11Updated 3 years ago
Alternatives and similar repositories for PIs-for-RL-Problems-in-CTS:
Users that are interested in PIs-for-RL-Problems-in-CTS are comparing it to the libraries listed below
- Code to reproduce results in peer-reviewed publications☆18Updated last month
- ☆9Updated 7 years ago
- EXPSIN / Quadratic-Programming-for-Continuous-Control-of-Safety-Critical-Multi-Agent-Systems-Under-UncertaintQuadratic Programming for Continuous Control of Safety-Critical Multi-Agent Systems Under Uncertainty☆12Updated 6 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 4 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆17Updated 2 years ago
- Code needed to reproduce examples in "Robust Closed-loop Model Predictive Control via System Level Synthesis," by S. Chen, H. Wang, M. Mo…☆28Updated 4 years ago
- University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has bee…☆19Updated 4 years ago
- Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC☆18Updated 7 years ago
- A data-driven method for linear quadratic control with state and control constraints☆10Updated 2 years ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆21Updated 3 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆26Updated 5 years ago
- course project: a simple implementation of Q learning and MPC☆17Updated 3 years ago
- Nonlinear Model Predictive Tracking Controller for AUV☆22Updated 7 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆13Updated last year
- Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.☆11Updated 2 years ago
- Data-driven attitude control design for multirotor UAVs☆16Updated 7 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆19Updated last year
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆31Updated 11 months ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆42Updated 3 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Matlab Code base for T-RO 20 paper on robust Control Barrier Functions (CBFs) with Gaussian Process Regression for estimating the disturb…☆15Updated 3 years ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆28Updated 3 years ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆52Updated last year