GitHub / AlinaBaber / ReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab

This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AlinaBaber%2FReinforcementLearning-QLearning-based-self-tuned-PID-controller-for-AUV-MatLab

Topics: auv, deep-learning, fuzzy-logic, matlab, neural-network, pid-controller, reinforcement-learning, underwater-robotics

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