Active Learning and Reinforcement Learning

The problem of active learning can be considered as a special case of reinforcement learning (Sanjoy Dasgupta noted it). We can consider it as learning a policy (which selects new data point) that maximizes the increase in some classification performance, e.g. empirical risk, our estimate about structural risk, or anything similar.

2 Replies to “Active Learning and Reinforcement Learning”

  1. Hi, Amir!

    First, I am really sorry for what happened in your country when the airplane C-130 fell into a civilian house area, killing, at least, one hundred persons. :/

    Well, very nice that you liked the post about Genetic Algorithm and Dentistry. πŸ˜€

    There are no so much applications like that, I guess. πŸ™‚

    Até Mais!!


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