Rishikesh-Jadhav / Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPG

This repository hosts the implementation of autonomous vehicle navigation using RL techniques, with a specific emphasis on Deep Q-Networks (DQN) and Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithms. We focus on training a TurtleBot3 robot to navigate autonomously through environments while intelligently avoiding moving obstacles.
22Updated 8 months ago

Alternatives and similar repositories for Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPG:

Users that are interested in Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPG are comparing it to the libraries listed below