Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks

Georgios Papoudakis, Kyriakos C. Chatzidimitriou, Pericles A. Mitkas

Recent developments in deep reinforcement learning have enabled the creation of agents for solving a large variety of games given a visual input. These methods have been proven suc…