Reinforcement Learning WaterTank Control on MATLAB with Custom Agent, the agent instead of DDPG, we used PPO
☆12Oct 27, 2023Updated 3 years ago
Alternatives and similar repositories for RL-ObstacleAvoidanceForMobileRobot-MATLAB-PPO
Users that are interested in RL-ObstacleAvoidanceForMobileRobot-MATLAB-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:
- An RNN-based reinforcement learning model☆12Jun 29, 2023Updated 3 years ago
- Matlab/Simulink implementation of an autonomous and self-balancing bicycle controller using reinforcement learning.☆17Feb 20, 2024Updated 2 years ago
- Hover a UAV in MATLAB using Deep Reinforcement Learning.☆20Oct 30, 2023Updated 3 years ago
- Following repository contains the Architecture and its code for Continuous Domain RL Agents that include: DDPG, TRPO, PPO, SAC and TD3.☆23Feb 5, 2026Updated 9 months ago
- This is where my lessons and projects are documented for the course Control Systems Engineering.☆24Apr 12, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This project uses reinforcement learning (RL) to tune PID controllers for a nonlinear mass-spring-damper system. It applies the TD3 algor…☆19Dec 5, 2024Updated last year
- Reinforcement Learning (RL) Course in MATLAB with exercises and solutions☆18Jul 30, 2021Updated 5 years ago
- The Narrative Card Game Framework☆13Mar 10, 2026Updated 8 months ago
- An improved version for matlab deep learning toolbox cnn☆22May 8, 2015Updated 11 years ago
- Multi-objective reinforcement learning for covid-19 control☆12Aug 12, 2021Updated 5 years ago
- Implementation of Reinforcement learning using Q learning algorithm- Robot in Maze - Matlab☆28Dec 17, 2019Updated 6 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆30Jul 20, 2023Updated 3 years ago
- Multi-Objective Reinforcement Learning sandbox☆12Dec 20, 2021Updated 4 years ago
- ☆10Nov 5, 2026Updated last week
- 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.
- Harnessing reinforcement learning, this repository emulates drone flocking behavior inspired by biological models. This uses a 2D environ…☆11Nov 4, 2023Updated 3 years ago
- Source Code for 'Beginning MATLAB and Simulink' by Sulaymon Eshkabilov☆11Nov 13, 2019Updated 7 years ago
- Multi-agent reinforcement learning for autonomous navigation for mapping and multi-objective drone swarm exploration☆11Dec 9, 2021Updated 4 years ago
- This research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control i…☆38Jul 18, 2025Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆11Aug 24, 2023Updated 3 years ago
- Examples using MATLAB and Python together☆10Mar 22, 2021Updated 5 years ago
- This project uses DDPG for "optimal" control of non-linear valves. Uses MATLAB and Simulink☆109Apr 2, 2021Updated 5 years ago
- Explore the world of Numerical Methods and their practical applications in Chemical Engineering through this repository. Dive into algori…☆11Jul 15, 2024Updated 2 years ago
- This project is about implementing an LQG algorithm on a missile whose state model is partially unstable and implementing Guidance Naviga…☆10Jul 26, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- deep multi agent reinforcement learning tutorial book for intermediate☆12Dec 13, 2021Updated 4 years ago
- A C++, software development project using swarm algorithms on 20 or more drones simultaneously to form various geometric shapes.☆16Dec 16, 2022Updated 3 years ago
- Hybrid SUSD-based Task Allocation for Heterogeneous Multi-Robot Teams☆12May 5, 2024Updated 2 years ago
- L1 Adaptive Control basic simulation☆14Jun 8, 2022Updated 4 years ago
- Source Code for 'Practical MATLAB Deep Learning, 2nd Edition'☆14Oct 6, 2022Updated 4 years ago
- Easily typeset Control Block Diagrams and Signal Flow Graphs with TikZ/PGF☆12Feb 3, 2021Updated 5 years ago
- LIOSAMMID360 is a specialized adaptation of the LIO-SAM (Lidar-Inertial Odometry and Mapping) framework, tailored for ROS 2 and Livox Lid…☆17Nov 8, 2025Updated last year
- Reinforcement learning implementation of HVAC controller☆12Jun 22, 2018Updated 8 years ago
- I have developed a custom environment using OpenAI Gym in Python for simulating a 5G wireless communication channel as part of a reinforc…☆14Sep 6, 2026Updated 2 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A deep reinforcement learning multi-agent algorithm, where a team learns to complete a task and communicate between agents.☆16Jun 1, 2021Updated 5 years ago
- Multi-agent reinforcement learning for autonomous navigation for mapping and multi-objective drone swarm exploration☆55Jan 7, 2022Updated 4 years ago
- A minimal (<50 lines) Python wireless distributed protocol simulator for teaching and rapid prototyping☆17Apr 8, 2026Updated 7 months ago
- Utilization of a Market-Based Approach for solving the Multi-Robot Task Allocation problem☆11Nov 26, 2022Updated 3 years ago
- Simulation environments for Multi-Objective Reinforcement Learning (MORL)☆17Aug 2, 2022Updated 4 years ago
- The flight simulator and autopilot for my Fligh Dynamics and Controls Class. Based of the text book Small Unmanned Aircraft by Ranal Bear…☆11Jan 28, 2020Updated 6 years ago
- We demonstrate decentralized drone swarm control learned via large-scale multi-agent reinforcement learning.☆15Dec 20, 2023Updated 2 years ago
Are these results useful?