#Introduction v2

I'm generally interested in how the intersection of multi-agent learning, open-endedness, and human-data, can help us build agents with emergent capabilities and reshape validation for autonomous systems. I love batched simulators, RL, autonomous vehicles, and transportation systems (and sci-fi).

I'm also a professor at NYU Tandon CUE and a research scientist at Apple SPG.

It's the "applications!" time of the year, so let me link to these insightful and oh-so-helpful (and witty) slides by Rocco Servedio on how to write a research statement academic positions and postdocs, from the 2021 Learning Theory Alliance mentoring workshop:
https://let-all.com/assets/slides/How-to-COLT-Rocco.pdf

Lots of good stuff, meaningful advice, and Herman Melville.
#academia #academicjobmarket #researchstatement #hermanmelville

I've now created @tmlrpub for published papers and @tmlrcert for certifications at TMLR.

This place starts feeling like home 🏡

what's the weirdest thing you've stumbled upon in #RL #reinforcementlearning ?

i'll start:

if using neural nets* you don't actually need any rewards to train an agent optimally on episodic cartpole.

* or positive initializations