Collision Avoidance with Deep Reinforcement Learning

In the past decade, learning algorithms developed to play video games better than humans have become more common. Google's DeepMind Technologies developed learning algorithms that could play Atari video games and also demonstrated their famous AlphaGo algorithm which outperformed professional Go players. However, little research has been done on learning algorithms developed to complete the particularly difficult single-player games. In particular, much further research could be done on developing learning algorithms for mechanically challenging games such as "bullet hell" games. We believe that agents could learn to efficiently evade obstacles utilizing deep reinforcement learning.