How DeepMind’s Agent57 Outperformed Humans In 57 Atari Games

In a paper published by DeepMind, a team of scientists from Alphabet’s UK-based research division has claimed that Agent57 - the first deep reinforcement learning agent - has outperformed humans on all 57 Atari 2600 games in the Arcade Learning Environment data set.  Agent57 combines an algorithm to efficiently explore a meta controller which adapts the exploration along with the long versus short-term behaviour of the agent. The study’s co-authors wrote, “With Agent57, we have succeeded in building a more generally intelligent agent that has above-human performance on all tasks in the Atari57 benchmark. Agent57 was able to scale with increasing amounts of computation: the longer it trained, the higher its score got.” https://youtu.be/luZm3jmwGwI?list=PLqYmG7hTraZCHS3JL