Deep Reinforcement Learning for Robot Navigation

Trained a hexapod robot how to navigate, in simulation, in an maze environment from raw LiDAR data using a deep Q-Network. I Used Keras with Tensorflow in Python to train the agent, and used gym-gazebo package as a simulation environment.

This work was done as part of my internship at Carnegie Mellon University.

Ali Salman
Ali Salman
Machine Learning Engineer

My interests include machine learning, computer vision and robotics.