Built a hybrid network trained by a supervised algorithm to learn preliminary tasks, like obstacle avoidance, and then used Deep Reinforcement Learning to learn maximal map exploration. This work presented as a poster in IROS 2017. Tools: Tensorflow, Keras, ROS, Stage, Python, C++, OpenCV