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.
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?
This is why my field (reinforcement learning) is unfortunately not science.
(Can’t really publish “hey I tried this algorithm and it didn’t work”)
…because people don’t accept that it’s wrong? Or some other reason?
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?