I’ve been doing a 1-year CS MSc (one of the ‘conversion’ courses in the UK). I took as many AI/ML electives as I’m permitted to/can handle, but I missed out on an intro to RL course. I’m planning to take some time to (semi-independently) up-skill in AI safety after graduating. This might involve some projects and some self-study.
It seems like a good idea to be somewhat knowledgeable on RL basics going forward. I’ve taken (paid) accredited, distance/online courses (with exams etc.) concurrently with my main degree and found them to be higher quality than common perception suggests—although it does feel slightly distracting to have more on my plate.
Is it worth doing a distance/online course in RL (e.g. https://online.stanford.edu/courses/xcs234-reinforcement-learning ) as one part of the up-skilling period following graduation? Besides the Stanford online one that I’ve linked, are there any others that might be high quality and worth looking into? Otherwise, are there other resources that might be good alternatives?
I’ve been doing a 1-year CS MSc (one of the ‘conversion’ courses in the UK). I took as many AI/ML electives as I’m permitted to/can handle, but I missed out on an intro to RL course. I’m planning to take some time to (semi-independently) up-skill in AI safety after graduating. This might involve some projects and some self-study.
It seems like a good idea to be somewhat knowledgeable on RL basics going forward. I’ve taken (paid) accredited, distance/online courses (with exams etc.) concurrently with my main degree and found them to be higher quality than common perception suggests—although it does feel slightly distracting to have more on my plate.
Is it worth doing a distance/online course in RL (e.g. https://online.stanford.edu/courses/xcs234-reinforcement-learning ) as one part of the up-skilling period following graduation? Besides the Stanford online one that I’ve linked, are there any others that might be high quality and worth looking into? Otherwise, are there other resources that might be good alternatives?