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.