Rajesh-Siraskar / Reinforcement-Learning-for-Control-of-ValvesLinks
This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink
☆95Updated 4 years ago
Alternatives and similar repositories for Reinforcement-Learning-for-Control-of-Valves
Users that are interested in Reinforcement-Learning-for-Control-of-Valves are comparing it to the libraries listed below
Sorting:
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆48Updated last year
- 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 Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆70Updated 7 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
- Adaptive dynamic programming☆122Updated 4 months ago
- ☆48Updated 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
- Code for the paper {Pang, Bo, and Zhong-Ping Jiang. "Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic …☆23Updated 3 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆16Updated 2 years ago
- A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization☆49Updated 6 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 dynamic programming(ADP) 自适应动态规划☆46Updated 4 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- 使用simulink进行环境的模拟,使用python编写强化学习(rl)代码☆22Updated 5 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
- ADP demo code for Reinforcement Learning and Control, Tsinghua Univ. Lecture Notes.☆42Updated 3 years ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆48Updated 6 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆47Updated 10 years ago
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆16Updated 7 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆12Updated 3 years ago
- ☆32Updated 6 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Updated 5 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)☆15Updated 5 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
- 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
- This is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agen…☆18Updated 2 months ago
- ACD project☆7Updated 8 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆19Updated 2 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆14Updated 3 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆55Updated 7 years ago