X-Embodied / Matlab_PPOLinks
This is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agent extension (MAPPO). It supports GPU acceleration and parallel computing, making it suitable for research and engineering applications in control systems.
☆18Updated 2 months ago
Alternatives and similar repositories for Matlab_PPO
Users that are interested in Matlab_PPO are comparing it to the libraries listed below
Sorting:
- Adaptive dynamic programming☆122Updated 4 months ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆16Updated 2 years ago
- Adaptive dynamic programming（ADP） 自适应动态规划☆46Updated 4 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆95Updated 4 years ago
- ☆48Updated 3 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆18Updated 7 months ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆20Updated last year
- Adaptive tuning of an aircraft pitch PID controller with Deep Reinforcement Learning Algorithm☆42Updated 4 years ago
- Reinforcement learning Algorithms such as SARSA, Q learning, Actor-Critic Policy Gradient and Value Function Approximation were applied t…☆114Updated 3 years ago
- iman-sharifi-ghb / Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-LearningSystem Identification and Self-Tuning PID Control using NN☆78Updated 2 years ago
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆11Updated 7 months ago
- ☆10Updated 7 years ago
- A MATLAB Class for convenient ADP simulation☆24Updated 8 years ago
- ADP☆9Updated 8 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆15Updated 3 years ago
- ☆21Updated 3 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆48Updated 6 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆19Updated 2 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 years ago
- ☆32Updated 6 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆48Updated last year
- Code to reproduce results in peer-reviewed publications☆21Updated 5 months ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆14Updated 3 years ago
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆23Updated 3 years ago
- Reinforcement Learning _ Adaptive dynamic programming☆13Updated last month
- Gym Environment for AUV docking procedure☆10Updated 2 years ago
- Simple examples for Event-triggered control for network controlled system☆82Updated 2 years ago
- Neural network-based (NN) Model Predictive Control (MPC) algorithm to control a multi-agent system (MAS) with stochastic communication to…☆92Updated 2 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 years ago