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Super helpful while I come upto speed with this field in general. Currently taking the XCS234(RL @ Stanford online) and this book is referenced for everything.


The Author used to be on the Unity Agents team and was my first every introduction to Whatever Learning. This looks cool and timing couldnt be better as I am working through XCS234(Stanford Deep RL course)


Hi I just found this resource. Is this a full-fledged Transformer implementation? If so, I would like to throw GRPO on it to see what happens. I mean what could possibly go wrong :-)


I found this in the Authors GitHub repo. Looks interesting. Will use this to complement my learning resources https://github.com/farhanhubble/discover-drl/blob/master/Red...


If you're interested, this is the course that I created: https://github.com/KnowchowHQ/rl-in-action/tree/master/C1-RL...

The other one you found is just one of the notebooks from the course.


Thanks a lot! Looks like a lot of fun. Like I said will combine it with my Stanford online course


Very nice-write up. The in-line quiz, which i think is AI generated(QnA) is very useful to test understanding. Wish all tutorials incorporated that feature.


thank you!


Thanks! This made my day. ROFL.


Bravo!


Sounds cool! In fact, this can be applied to other areas such as "debate monitoring" for debate competitions


Pretty nifty, except that it also detects "winks" as "blinks".


@adnanaga looking at you as a future AJ. And @chan you as the DOPE(Department of pentagon efficiency). I mean the "bar" is too low now. All you need to do is Pass the bar. Pun intended. Love it guys.I just posted a continue and persist letter to you guys. You guys made me smile and laugh. So Thank You on this Thanksgiving day


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