Human-level control through deep reinforcement learning
, , , , , , , , , , , , , , , , , , and .
Nature 518 (7540): 529--533 (2015)

An artificial agent is developed that learns to play a diverse range of classic Atari 2600 computer games directly from sensory experience, achieving a performance comparable to that of an expert human player; this work paves the way to building general-purpose learning algorithms that bridge the divide between perception and action.
  • @kde-alumni
  • @e.fischer
  • @hotho
  • @cpankow
  • @dblp
  • @lukasw
  • @jan.hofmann1
This publication has not been reviewed yet.

rating distribution
average user rating0.0 out of 5.0 based on 0 reviews
    Please log in to take part in the discussion (add own reviews or comments).