this post was submitted on 21 Mar 2024
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I guess I should've clarified; in reforcement learning "I was wrong in numerous ways" almost always translates to "unpublishable, try to not be wrong next time". Nobody cares if a reinforcement learning hypothesis didn't work, its only worth publishing if it worked well.
Gotcha.
I thought that was the norm in all academia these days? Can a physicist (or anyone from another field) publish results that didn't go as expected and save future scientists some time?
I know a good bit of micro biology, psychology, and medical trial fields can. But thats about the limit of my "other fields" knowledge.