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.
☆38Jul 18, 2025Updated 11 months ago
Alternatives and similar repositories for RL-Based-Control-of-Reservoir-Systems-Using-SAC-and-PPO
Users that are interested in RL-Based-Control-of-Reservoir-Systems-Using-SAC-and-PPO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Adaptive PID control of a flexible manipulator using DDPG algorithm.☆28Sep 4, 2025Updated 9 months ago
- Following repository contains the Architecture and its code for Continuous Domain RL Agents that include: DDPG, TRPO, PPO, SAC and TD3.☆22Feb 5, 2026Updated 4 months ago
- Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopte…☆27Mar 15, 2022Updated 4 years ago
- This example uses Soft Actor Critic(SAC) based reinforcement learning to develop the mobile robot navigation. For a brief summary of the …☆20Aug 9, 2021Updated 4 years ago
- Adaptive tuning of an aircraft pitch PID controller with Deep Reinforcement Learning Algorithm☆51Oct 4, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- RL implementation in course 'Control for Robotics' at U of T, includes Generalized Policy Iteration, Monte Carlo and Q-Learning in MATLAB☆14Jul 16, 2022Updated 3 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆16Mar 4, 2024Updated 2 years ago
- This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using…☆24Jun 12, 2024Updated 2 years ago
- This is the implementation of the work done in "Optimized self-adaptive PID speed control for autonomous vehicles" paper.☆29Feb 22, 2025Updated last year
- DDPG algorithm for PID tuning☆34Sep 10, 2020Updated 5 years ago
- Comparison between a PID, ANN & Fuzzy-PID controller while controlling a Robotic Arm in Simulink☆11Jan 31, 2022Updated 4 years ago
- Developed a PID control system for two-link robotic arm in SIMULINK/MATLAB☆15Jul 12, 2022Updated 3 years ago
- Enhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles☆19Apr 13, 2024Updated 2 years ago
- Autonomous driving using GA-optimized neural network based adaptive LPV-MPC controller☆30Feb 22, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Source code for deep reinforcement learning in MATLAB☆34Mar 19, 2024Updated 2 years ago
- ☆10Dec 10, 2021Updated 4 years ago
- An RNN-based reinforcement learning model☆11Jun 29, 2023Updated 2 years ago
- Using deep deterministic policy gradients to control a tiltrotor UAV through its transition in continuous state space☆40Nov 6, 2019Updated 6 years ago
- DR-TVFC is a control framework based on sliding mode control that decouples the consensus task and the formation task to achieve distribu…☆23Apr 2, 2025Updated last year
- An approach that integrates Transfomer-based attention mechanisms into model predictive control for a learnable control policy.☆13May 9, 2023Updated 3 years ago
- Using reinforcement learning for vehicle lateral control, the input is information such as vehicle status and tracking error, and the out…☆14May 6, 2023Updated 3 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆30Jul 20, 2023Updated 2 years ago
- Novel adaptive tuning of the PID gains using an Actor-Critic-based Neural Network for Attitude Control of a 6-Dof, 4-motor Robot☆32Sep 25, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆12Mar 17, 2024Updated 2 years ago
- Goal-conditioned reinforcement learning like 🔥☆15Feb 3, 2024Updated 2 years ago
- This project demonstrates the use of a physics informed neural network to estimate the state of ground vehicles☆13May 28, 2024Updated 2 years ago
- Design 200M equivalent sampling using 1M Sa/s, send AD data to STM32. 使用1M采样率实现200M等效采样，将数据发送到STM32上 Altera FPGA EP4CE22E22C8, ADS828E☆14Aug 8, 2025Updated 10 months ago
- 基于CNN-BiLSTM-Attention对K线图进行多种预测☆16Jan 11, 2025Updated last year
- LSTM-MPC: Deep Learning Based Predictive Control for Multimode Process Control☆96May 29, 2025Updated last year
- Train a reinforcement learning agent to play a variation of Pong®☆47May 14, 2025Updated last year
- Tuning the PI controller parameters by using a contextual bandit approach☆15Jan 13, 2022Updated 4 years ago
- Multi-sensor and Multi-scale data fusion through Convolutional Neural Networks☆13Aug 28, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- This is a demo model for Reinforcement Learning Control Design. After designing agent, it is deployed to Raspberry Pi and run real-time h…☆27Sep 27, 2022Updated 3 years ago
- J. Zhang and J. Wang, "Improved Whale Optimization Algorithm Based on Nonlinear Adaptive Weight and Golden Sine Operator", IEEE Access, v…☆13Sep 23, 2021Updated 4 years ago
- Thesis: Application of Reinforcement Learning for the Control of Nonlinear Dynamical Systems☆18Apr 16, 2020Updated 6 years ago
- An approach to using reinforcement learning techniques to optimize manufacturing processes.☆14Oct 13, 2019Updated 6 years ago
- [KI'22] Official implementation of the paper "Solving the Traveling Salesperson Problem with Precedence Constraints (TSPPC) by Deep Reinf…☆13Sep 19, 2022Updated 3 years ago
- Modelica library with thermophysical properties of fluids and solids (Used for ClaRa library)☆14Mar 4, 2026Updated 3 months ago
- The implemetation of the Reinforcement Learning based PID Tunner.☆75Dec 8, 2023Updated 2 years ago