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Research paper

Deep Reinforcement Learning with Double Q-Learning

At a glance

Double DQN reduces inflated reward estimates when learning through trial and error.

In one paragraph

Introduced Double DQN, a method that helps AI learning through trial and error avoid overestimating future rewards. Separating how the system chooses an action from how it evaluates that choice improved its performance on several Atari games.

Authors 3

  1. Hado van Hasselt
  2. Arthur Guez
  3. David Silver