Belated #introduction: I am interested in open-endedness and reinforcement learning research. I'm an Associate Professor at the UCL Centre for AI where I am a PI for the UCL DARK (https://dark.cs.ucl.ac.uk/) lab with @egrefen (some of our students are here as well @LauraRuis @minqijiang @mika) and collaborate closely with @jnf. At DeepMind, I am leading the Open Endedness Team (follow @jparkerholder).

@rockt @egrefen @LauraRuis @minqijiang @mika @jnf @jparkerholder

Hi, would you have a recommendation for a good "open-endedness for dummies" style YT vid or article? Thanks

@WorldImagining
Don't know if it fits the "for dummies" case, but @minqijiang and I have a paper (also with @rockt) covering in part the state of the field.

@egrefen @minqijiang @rockt

Hello again, just to be sure; you're referring to the Prioritized Level Replay paper?

I watched a couple of presentations from Ken Stanley yesterday and started his 'Why Greatness...' book today. It resonates (!) in very interesting ways with things I study in philosophy of scientific education and practice.

@WorldImagining @egrefen @LauraRuis @minqijiang @mika @jnf @jparkerholder "Why greatness cannot be planned" by Ken Stanley and Joel Lehman is a very gentle non-technical short book introducing some of the concepts.
@rockt Great thanks. I've found a YT vid of Stanley talking about the book at a conference, so I'll start there and see how I get on, before potentially checking out the state-of-the-art review recommended by @egrefen (thank you too).