I'm procrastinating on my multiagent RL project for class by thumbing through Needham's Visual Differential Geometry. My god, it's full of pictures
catastrophic forgetter
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full time software dev, part time CS grad student, studying ML
I was originally aggravated why neither "Grokking Deep RL" nor the GAE paper justified the interchangeability of total reward versus go-to-reward in the policy gradient. Surely the leap can't be that involved! Then I learned.
pretty jealous of the LaTeX support on mathstodon. that's one thing making me think that I should abandon social media and make blogging great again
I suppose setting up my own mastodon instance with LaTeX support is another option, albeit a more time-consuming one