ML Mentorship: Some Q/A about RL | Eric Jang
One of my ML research mentees is following OpenAI's Spinning up in RL tutorials (thanks to the nice folks who put that guide together!). She emailed me some good questions about the basics of Reinforcement Learning, and I wanted to share some of my replies on my blog in case it helps further other student's understanding of RL.
One of my ML research mentees is following OpenAI's Spinning up in RL tutorials (thanks to the nice folks who put that guide together!). She emailed me some good questions about the basics of Reinforcement Learning, and I wanted to share some of my replies on my blog in case it helps further other student's understanding of RL. The classic Sutton and Barto diagram of a Markov Decision Process. Your “How to Understand ML Papers Quickly” blog post recommended asking ourselves “what loss supervises the output predictions” when reading ML papers. However, in SpinningUp, it mentions that…
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