Visual Rationalizations in Deep Reinforcement Learning for Atari Games

1 Feb 2019Laurens WeitkampElise van der PolZeynep Akata

Due to the capability of deep learning to perform well in high dimensional problems, deep reinforcement learning agents perform well in challenging tasks such as Atari 2600 games. However, clearly explaining why a certain action is taken by the agent can be as important as the decision itself... (read more)

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