Muzhaffar99 / A-Comparative-Study-of-SAC-and-PPO
This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control in single-tank and quadruple-tank systems. The RL algorithms were trained using MATLAB's Reinforcement Learning Toolbox and tested in a Simulink simulation.
☆14Updated 4 months ago
Alternatives and similar repositories for A-Comparative-Study-of-SAC-and-PPO:
Users that are interested in A-Comparative-Study-of-SAC-and-PPO are comparing it to the libraries listed below
- the code implements a training algorithm for a tracking control system using dynamic programming and reinforcement learning. It uses neur…☆17Updated last year
- MATLAB simulation and final report/presentation for M.S. thesis. "Adaptive Dynamic Programming for Human Postural Balance Control"☆14Updated 6 years ago
- Contains all research-related code for publications by Brent Wallace, Arizona State University☆12Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆27Updated 5 years ago
- Several ADP algorithms code for the data-driven optimal control of linear time-varying systems☆17Updated 2 years ago
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆12Updated 3 years ago
- We propose a novel data-driven optimal adaptive fault-tolerant control method for path tracking control.☆13Updated 7 months ago
- ☆20Updated 2 years ago
- Codes reproducing paper Jongeun Choi, Songhwai Oh, Roberto Horowitz, Distributed learning and cooperative control for multi-agent systems…☆21Updated 3 years ago
- Comparing the performance of a DDPG Reinforcement learning model to control temperature with that of a PID and a thermostat controller.☆42Updated last year
- paper code of "Adaptive feedforward RBF neural network control with the deterministic persistence of excitation"☆9Updated 3 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆21Updated last year
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆66Updated 6 years ago
- Model-free event-triggered optimal control with performance guarantees via goal representation heuristic dynamic programming☆11Updated 2 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆90Updated 3 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
- ☆45Updated 3 years ago
- code of paper: Adaptive Feedforward Neural Network Control With an Optimized Hidden Node Distribution☆28Updated 3 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆14Updated 3 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆11Updated last year
- tianxiaoy9 / Data-driven-deep-reinforcement-learning-controller-for-DC-DC-buck-converter-feeding-CPLsSource code for deep reinforcement learning in MATLAB☆21Updated last year
- course project: a simple implementation of Q learning and MPC☆17Updated 3 years ago
- ADP☆9Updated 7 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
- Adaptive dynamic programming☆105Updated last month
- Comparing the performance of Reinforcement learning models to control temperature with that of a PID and a thermostat controller.☆12Updated 4 years ago
- A MATLAB Class for convenient ADP simulation☆22Updated 7 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆42Updated 4 years ago
- A data-driven method for linear quadratic control with state and control constraints☆10Updated 2 years ago