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 not a science
…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?