On Saturday (6th Dec), I'll be at the EurIPS workshop on Epistemic Intelligence in Machine Learning where I'll be presenting a poster on the same topic! If this sounds interesting to you, please pop by and let us know what you think!

Tmrw (Tue 2nd Dec, 13:50-14:10), I'll be giving a talk on this topic titled "Exploiting State and Action Uncertainty for Imitation Learning using Inverse Dynamics Models" at the Interactive Learning and Interventional Representations (ILIR) workshop of the ELLIS UnConference!

I'll also be presenting work from my postdoc at MSR Cambridge in collaboration with the Game Intelligence team and MSR NYC. In our work, we dug deeper into recent imitation learning algorithms to theoretically & empirically understand what makes them work. You can find me talking about this 👇

Fingers crossed it’ll actually live up to the hype accumulated over all these years 🙏

Thanks for sharing, hadn’t seen this before and definitely plan to catch up!

Love these curated and shareable feeds on here. Such a good feature to give more control to the users and community to make the experience what they want it to be rather than leaving it in the control of the platform!

Thanks! @sharky6000.bsky.social

We also updated and moved our code exercises which we had built for a summer school to the marl-book github page so they can be easily found at github.com/marl-book/ma...

Thanks @sacha2.bsky.social for the reminder on that! They had previously been hidden inside my GitHub account 😅

Awesome to see the slides publicly available, wasn’t aware they are now!

And yes actually, the code exercises are here: github.com/LukasSchaefe...

Good point though, I wanted to migrate them to the book github project. I’ll have a stab at that later!

Thanks, will check it out!

That sounds exciting! Are there any recordings or slides available to check this out? 👀

Thanks!

We wanted to have a game with more realistic visuals. We decided on CS:GO mainly since there already existed an open dataset to train on and compare results to prior methods that used the same dataset.

Also, we finished initial experiments actually on the same day as CS2 released 😅