## Why do DQNs tend to forget?

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Why do DQNs tend to forget? Is it because when you feed highly correlated samples, your model (function approximation) doesn't give a general solution?

For example:

• I use level 1 experiences, my model $$p$$ is fitted to learn how to play that level.

• I go to level 2, my weights are updated and fitted to play level 2 meaning I don't know how to play level 1 again.

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– nbro – 2020-07-27T13:17:08.527

This question is very related to https://ai.stackexchange.com/q/13289/2444, although I wouldn't say it's a duplicate because yours is specific to DQN.

– nbro – 2020-07-28T13:10:07.943