Comments (5)
Sorry I'm really behind on this.
Do you think this fits into any of the existing categories. At first glance, I'm wondering if Reinforcement Learning deserves its own category. If you agree, do you care to summarize up the "reinforcement learning and the state of it in rust" (in 2-3 sentences) and mention any other crates in the space you might be aware of; then I would be happy to put together the page for it.
from are-we-learning-yet.
No worries.
So no, RL doesn't really fall into any one of the categories you currently have on your site. It is certainly it's own thing, though it makes use of a number of the categories you currently have. For example, neural networks are often used to approximate "value functions" in RL problems.
As far as I know there are not any crates out there that are as far along as rsrl
. I am aware of https://github.com/NivenT/REnforce which has some interesting stuff but it doesn't appear to be in active development.
If I were to summarise RL and it's place in the ecosystem I'd say the following:
Reinforcement learning is the branch of machine learning concerned with sequential decision making problems. A few interesting libraries exist for applying classical methods (such as Q-learning), including REnforce and rurel. However, implementations of state-of-art learning algorithms are currently limited to rsrl; to the best of our knowledge.
from are-we-learning-yet.
Thanks!
from are-we-learning-yet.
http://www.arewelearningyet.com/reinforment-learning/
Maybe someday I'll come up with a better ranking heuristic that gives weight to recent activity, but till then, looks you're a couple GH stars from being top of your own category. ;-) (fwiw, CI auto-republishes with new stats about once-per-week)
from are-we-learning-yet.
Haha that's fine. Just cool to see it up there.
Cheers!
from are-we-learning-yet.
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from are-we-learning-yet.