sgawalsh/dqnTurtlebot
Implementing Deep-Q-Learning to train a bot to navigate an environment with obstacles
This project helps robotics engineers and researchers train virtual robots to navigate environments and avoid obstacles using Deep Q-Learning. You provide a simulated robot in a Gazebo environment, and the project outputs a trained navigation model and performance plots. It's designed for those experimenting with reinforcement learning for autonomous robot control.
No commits in the last 6 months.
Use this if you are developing or testing autonomous navigation for simulated robots and need a framework to apply and compare Deep Q-Learning models.
Not ideal if you need to deploy navigation solutions on physical robots directly or require a pre-trained, production-ready navigation system without further development.
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Language
Python
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Last pushed
Dec 08, 2022
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