Human-level control through deep reinforcement learning (DQN)

Volodymyr Mnih and colleagues published Human-level control through deep reinforcement learning online in Nature on February 25, 2015. The paper describes a deep Q-network (DQN) agent that combines deep neural networks with reinforcement learning and reports evaluation on 49 Atari 2600 games using pixels and game scores as inputs.