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The hype is likely largely due to AlphaGo. It was a big win and used RL ==> RL must be a silver bullet! But more generally, when you don't have enough training
by ilyaeck 10y ago
The hype is likely largely due to AlphaGo. It was a big win and used RL ==> RL must be a silver bullet!
But more generally, when you don't have enough training data ahead of time but do have the benefit of lots of user interactions, and can afford to experiment with live users, then you may be in the sweet spot for RL.
- platz 10y ago> when you don't have enough training data ahead of time but do have the benefit of lots of user interactions But this is just a characteristic of "online learning" algorithms, no? I thought RL was special method that is online only, but there are other algos that can be made to be online that aren't RL, if my understanding is correct. Then the advantage you cite isn't unique to RL at all. You can even do online learning with SGD (stochastic gradient descent)
- yzmtf2008 10y agoRL is special in the sense that your actions do not produce immediate feedback, and feedback are only available after a period of time. E.g. You ate an apple, you opened the door, you arrived at office, and then had food poisoning.