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I wonder if these guys are a bit quick to give themselves credit. There's a lengthy (and depressing) series of posts by Ben Recht[1] that basically outlines al
by s_Hogg 7y ago
I wonder if these guys are a bit quick to give themselves credit.
There's a lengthy (and depressing) series of posts by Ben Recht[1] that basically outlines all the reasons that model-free RL is effectively bunk if you have access to any model of how the environment evolves. These guys (as far as I can tell), haven't made any attempt to disambiguate how much of the improvement they see is down to having a model of the environment _at all_, as against the specific model they propose. I think there's probably more these guys could do to prove that they're actually onto something and aren't just confusing throwing compute at the problem with a genuinely better solution.
[1]: http://www.argmin.net/outsider-rl.html http://www.argmin.net/outsider-rl.html
- habitue 7y agoI mean, everyone knows if you hand a human-created model to a learning algorithm, it's going to do better. The linked posts you're pointing to here are talking about using human intelligence to build a model for the system. I think the point in this paper is that the model is learned in a self-supervised way. And that learning environment dynamics through predicting the next frame is useful by itself. That's not as obvious