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The original was posted on /r/machinelearning by /u/petrichorinforest on 2024-10-20 10:35:18+00:00.

I am just beginning my MAB research, but my original research interest lies in either Deep-RL or Optimization. Unfortunately, I found there are very few intersections between DRL/Opt and MAB (Please tell me if I am wrong), or even say that MAB is a kind of ‘isolated’ research field, neither produces interesting things (like transformers->GPT ) nor give you a promising career prospect (like opt favored by hedge fund). The most notable application is on recommend system, but I dont really see company other than Netflix would recruit, and not suitable for quant path.

Is MAB research dying? Should I quit MAB if I am no longer interested in academia and just want to become a quant after graduation? Or are there any intersection between MAB and other direction such I could become a paper machine?