Lean onto the interests of assistant professors at your school instead of trying to find promising RL subtopics.
This way you can get time with someone who’s deep in the field and can be a guiding light for your projects.
If you’re really into embodied AI, you can add that to an existing project but doing it by yourself can be extremely tough especially if your topic requires a lot of compute and your last name is not Rockefeller.
General advice from a CV PhD dropout:
Lean onto the interests of assistant professors at your school instead of trying to find promising RL subtopics.
This way you can get time with someone who’s deep in the field and can be a guiding light for your projects.
If you’re really into embodied AI, you can add that to an existing project but doing it by yourself can be extremely tough especially if your topic requires a lot of compute and your last name is not Rockefeller.
RL for closed-loop adaptive BCIs and sim-to-real robotics still look like the strongest practical directions right now.