u/AddressFancy3675

Hi everyone, I have a question about planning my reinforcement learning studies.

I'm currently a sophomore majoring in a non-CS field. My math background includes calculus, probability and statistics, linear algebra, and some mathematical analysis. I want to start learning reinforcement learning, but according to many recommendations, it seems I may also need additional math courses such as ODEs, real analysis, stochastic processes, etc.

Is that really necessary at my current stage? Or would it be better to learn those topics along the way?

I'd also appreciate any suggestions about how to study reinforcement learning itself (courses, prerequisites, learning path, etc.). So far, the only programming language I’m comfortable with is Python.

Hi everyone, I have a question about planning my reinforcement learning studies.

I'm currently a sophomore majoring in a non-CS field. My math background includes calculus, probability and statistics, linear algebra, and some mathematical analysis. I want to start learning reinforcement learning, but according to many recommendations, it seems I may also need additional math courses such as ODEs, real analysis, stochastic processes, etc.

Is that really necessary at my current stage? Or would it be better to learn those topics along the way?

I'd also appreciate any suggestions about how to study reinforcement learning itself (courses, prerequisites, learning path, etc.). So far, the only programming language I’m comfortable with is Python.