DQNs play Atari games at super-human levels.
Using Deep-Q-Networks (DQNs) I created bots that can play almost every Atari game at super human levels.
DQNs use reinforcement learning, and use neural networks as a function approximator. An experience replay memory is used to prevent the network from diverging, and deals with non-stationary data distributions and highly correlated data.
In just 3 hours of training on Google Colab my DQN achevied super-human performance in pong.