Reinforcement Learning and DQN – learning to play from pixels

Re:Reinforcement Learning and DQN – learning to play from pi... by apathy on Thursday August 25, 2016 @03:18PM (#12361665)

This is a terrific piece with a lot of depth, but it would be nice if you defined what a DQN is (especially since it's an ad-hoc DeepMind term) before going further. I recognized everything but the specific meaning of the DQN acronym and ended up looking up DQN itself... standard practice when writing things up is to expand abbrevations on first use, show the reader what they'll be abbreviated to, and use that after.

I searched the document and did not see an expansion of DQN to Deep Q-Network anywhere in the body, nor could I find a link to a definition of the term, which is kind of silly considering how much effort you put into the rest of the document. (Why limit your readership and/or opportunities?)

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Re:Reinforcement Learning and DQN – learning to play from pi... by rubenfiszel on Thursday August 25, 2016 @03:28PM (#12361755)

thanks a lot. You are right. I edited and expanded it inside the introduction.

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Re:Reinforcement Learning and DQN – learning to play from pi... by apathy on Thursday September 01, 2016 @12:27PM (#12406615)

To reiterate -- it is a fantastic piece. I went back and re-read it just now, and there's more meat in that one webpage than in many entire engineering textbooks. Terrific piece.

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