On one of the first projects I supervised in my PhD, a student repeatedly ignored suggestions to commit and then accidentally deleted the project at the end of the semester. Please use git! There are even "fun" games you can use to learn it:
learngitbranching.js.org

As my first post on this platform, allow me to advertise the RL theory lecture notes I have been developing with Sasha Rakhlin: arxiv.org/abs/2312.16730

(shameless repost of my pinned tweet)

Trying to build a "books you must read" list for my lab that everyone gets when they enter. Right now its:

- Sutton and Barto
- The Structure of Scientific Revolutions
- Strunk and White
- Maybe "Prediction, Learning, and Games", TBD

Kinda curious what's missing in an RL / science curriculum

Want to learn / teach RL? 

Check out new book draft:
Reinforcement Learning - Foundations
sites.google.com/view/rlfound...
W/ Shie Mannor & Yishay Mansour
This is a rigorous first course in RL, based on our teaching at TAU CS and Technion ECE.

Any suggestions for quantifying uncertainty in predictions made by pre-trained computer vision models (such as DINO)? #computervision

Reviewer 2 pointed out that a core weakness of my algorithm is that "it is relatively straightforward". To me, this comment feels more positive than negative. Has anybody received similar comments? How would you reply to that?

Trying to slowly populate the RL list here, help me out: go.bsky.app/3WPHcHg