danelee2601 / RL-based-adaptive-PID-for-DPSLinks
Python code for implementation of the paper 'Reinforcement Learning-Based Adaptive PID Controller for DPS
☆12Updated 4 years ago
Alternatives and similar repositories for RL-based-adaptive-PID-for-DPS
Users that are interested in RL-based-adaptive-PID-for-DPS are comparing it to the libraries listed below
Sorting:
- Automatically tuning PID parameters based on deep reinforcement learning algorithm☆21Updated last year
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆16Updated 6 years ago
- DDPG algorithm for PID tuning☆28Updated 4 years ago
- 预测-校正学习计算制导律☆12Updated 3 years ago
- OpenAI gym environment for collision avoidance and path following with an AUV☆32Updated 5 years ago
- ☆32Updated 6 years ago
- Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular for…☆44Updated 2 years ago
- Python implementation of differential games - starting from simple 2 body pursuit/evader problems to more advanced scenarios.☆35Updated 5 years ago
- Adaptive dynamic programming(ADP) 自适应动态规划☆45Updated 4 years ago
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆23Updated last year
- A PettingZoo (https://pettingzoo.farama.org/) environment for maritime Capture the Flag with uncrewed surface vehicles (USVs).☆17Updated this week
- Gym Environment for AUV docking procedure☆10Updated 2 years ago
- This repository contains Python scripts for multiple pursuer one evader differential pursuit evasion game.☆29Updated 5 years ago
- Safe control of unknown dynamic systems with reinforcement learning and model predictive control☆48Updated 5 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
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆35Updated last year
- Implementation of Incremental Heuristic Dynamic Programming with Neural Networks as Actor and Critic function appoximators.☆11Updated 2 years ago
- Application of an LSTM-based policy gradient on an RL agent☆14Updated 2 years ago
- ☆75Updated 2 years ago
- Implementation of a paper on adaptive optimal control (solving ARE) based on policy iterations☆30Updated 5 years ago
- Research Project on Multi-robot Target Tracking via Deep Reinforcement Learning☆19Updated 4 years ago
- ☆24Updated 3 years ago
- OpenAI gym environment of an Unmanned Surface Vehicle.☆42Updated 4 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- Code for paper "Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control"☆8Updated 6 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 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 6 months ago
- Code for paper: Event-triggered deep reinforcement learning using parallel control: A case study in autonomous driving.☆22Updated last year
- The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"☆16Updated 11 months ago
- Code that accompanies the paper "Spacecraft Robotic Capture and Simultaneous Stabilization Using Deep Reinforcement Learning-based Guidan…☆9Updated 3 years ago