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Very proud of M Charity, who will be an invited speaker at the ALOE workshop at NeurIPS on Friday. Come see M talk, they have a ton of interesting stuff in open-ended and mixed-initiative creative AI to talk about! Also, M is on the job market this season.

My ALOE Workshop talk will be tomorrow at 2:15 on "Open-ended and AI-generating Algorithms in the Era of Foundation Models." Please stop by if interested!

I will be giving a talk tomorrow at 2:45 at the ALOE Workshop at @neurips on “Algorithmic Scenario Generation as Quality Diversity Optimization”, come and check it out!

Wondering whether LLMs have enough social intelligence for real-life scenarios? Me and Graham Neubig Yonatan Bisk Daniel Fried are presenting our latest SOTOPIA benchmark at ALOE Workshop poster session (12/15 12:45pm-1:45 Room 211) Happy to chat about human-AI interaction, social and

If you want to know how to generate an infinity of simple meta-Reinforcement Learning tasks (but rich enough to include standard domains like Harlow, bandits, 2-step, etc.), come to the ALOE workshop poster session tomorrow (Friday 1pm, Room 211-213). neurips.cc/virtual/2023/7…

Good panel is good. (On open-endedness, at ALOE Workshop #NeurIPS2023)

Open-Endedness is the friends we make along the way ♥️ — thanks to everyone who participated in the @ALOEworkshop today!

Q: Why is it an exciting time to do research in open-ended learning? A: Because of all of you! 🫵 (well said, Jeff Clune) Thanks to all who took part in the ALOE Workshop. It truly felt like a special community today. See you next year!

Here is a YouTube link to my #NeurIPS2023 invited talk "Open-ended and AI-generating Algorithms in the Era of Foundation Models." Includes exciting new OMNI results in an infinite task space. Lmkwyt! youtu.be/TO_xQzWXTcI NeurIPS Conference ALOE Workshop Goal-Conditioned RL Workshop Joseph Suarez (e/🐡)

Exciting news! Our QDHF paper has been accepted at #ICML2024! Huge thanks to incredible coauthors: Jenny Zhang, Jeff Clune, Lee Spector, and Joel Lehman. Stay tuned for updates on arXiv with our latest findings! Project website: liding.info/qdhf 👇