xiangyu-liu / PG4LQR
Model-free policy gradient algorithm for LQR
☆10Updated 4 years ago
Alternatives and similar repositories for PG4LQR:
Users that are interested in PG4LQR are comparing it to the libraries listed below
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆12Updated 2 years ago
- 关于书《强化学习第二版》（作者Richard S. Sutton）每章节的代码实现（matlab版）☆14Updated 5 years ago
- ☆30Updated 6 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
- 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
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆16Updated last year
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆40Updated 2 years ago
- A data-driven method for linear quadratic control with state and control constraints☆9Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆26Updated 5 years ago
- This repository contains the open source code used to generate the simulation results shown in the manuscript "Jaeyoung Lee and Richard S…☆11Updated 3 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆29Updated 5 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆109Updated 2 years ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆41Updated 4 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆64Updated 6 years ago
- Approximate dynamic programming (ADP) and Policy gradient (PG) based sequential optimal experimental design (sOED)☆19Updated 2 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆17Updated 2 years ago
- Code to reproduce results in peer-reviewed publications☆18Updated last month
- Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.☆11Updated 2 years ago
- course project: a simple implementation of Q learning and MPC☆16Updated 3 years ago
- [OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs☆16Updated 6 years ago
- ADP☆9Updated 7 years ago
- Approximate Dynamic Programming exercises from Powell (2011)☆14Updated last year
- This repository includes a realization of the resilient projection-based consensus actor-critic algorithm that is resilient to adversaria…☆10Updated 2 years ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆16Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆12Updated last year
- ☆9Updated 7 years ago