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You should check out Berkeley's deep reinforcement learning course[1]. There's lecture videos, slides, and homework assignments, and it's all very up-to-date.

[1] http://rll.berkeley.edu/deeprlcourse/


I really enjoyed this!


This is really cool! How long did this project take? And how would one get started with mapmaking?


This is fascinating. What's the auction man at the end saying?


it looks like he's asking how many people are still in at a certain price point (though my japanese is terrible)

fantastic video btw.


My Japanese is fairly fluent, but the guy around 08:00 is pretty much totally incomprehensible...

The later dude at 10:00 seems to be announcing lot numbers ("16-ban"), doing the auction in ten-thousands ("75" for 75,000 yen?) and then announcing the winner ("Ebisuuuuu!") before going to the next.


I made this! Feel free to post feedback/questions/suggestions!


This was an interesting read. Thanks for sharing!

> This means that whenever I call this function, I need to provide together with a and b a proof that b isn’t zero.

What might such a proof look like? And is this supposed to work at compile-time?


Yes, it happens at compile time. To understand how proofs work here, you want to look at the Curry-Howard correspondence. Basically, there's a correspondence between types and propositions, and between the values inhabiting those types and proofs of the corresponding propositions. So a proof looks like a value of a certain type.


This is pretty cool! The app store buttons aren't showing up correctly for me though.


Thanks! Weird on the App Store link. Any chance you don't mind sharing more details on what platform and browser you are using?


I'm using Firefox 35.0 on 64-bit Windows 7.

It looks like this: https://i.imgur.com/uo6nhpA.png.


Thanks, I found this really helpful!



Great write-up!


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