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I just skimmed the article but doesn't seem like there is any talk of more modern approaches. Newer approaches have the agent learn "primitives" through curios
by bcheung 8y ago
I just skimmed the article but doesn't seem like there is any talk of more modern approaches.
Newer approaches have the agent learn "primitives" through curiosity. It's sub-goal is to predict future states given the current state + an action.
By doing this, the problem becomes more hierarchical and the search space is reduced. This makes it feasible for more complex scenarios.
I haven't personally heard of a lot of research on this part but I imagine that transfer learning becomes more feasible as well once some "primitives" are established.
- ddoolin 8y agoHave a read of part 2, where the author discusses approaches of solving the problem in part 1 -- https://thegradient.pub/how-to-fix-rl/ https://thegradient.pub/how-to-fix-rl/ It seems like there's a bit of research in this area but it's not receiving the attention it may deserve. At least, that's how I interpreted the author's tone.
- andreyk 8y agoYep, thanks, the idea was to highlight all the research going on and argue it deserves more attention.
- joe_the_user 8y agoAny good links on the approaches you mention, bcheung?