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Meet the recipients of the 2024 ACM A.M. Turing Award, Andrew G. Barto and Richard S. Sutton! They are recognized for developing the conceptual and algorithmic foundations of reinforcement learning. Please join us in congratulating the two recipients! bit.ly/4hpdsbD
Congrats to Barto and Sutton--the Christ and Paul of #RL--for their richly deserved Turing!🎉 I still remember Rich haranguing us at a 1990 planning spring symposium to see the light of Dyna and shift to RL! 😋 Christianity may have existed without Christ, but not without Paul..
✈️At #AAAI2025 in Philly from Wed afternoon through Saturday. Looking forward to meeting friends, giving my AAAI/EAAI Award talk (Sat 2pm), and doing cameos on some panels. DM (here or on Whova) if you want to chat. My first AAAI was in 1986 when it was last in Philly! 🤯…
With some Yochanites--past and present--at #NeurIPS2024 🤗 (L-R: @kayastechly @karthikv792 @rao2z @sarath_ssreedh @kr_t )
📣 📣 📣 We have extended the deadline for AAAI workshop on Planning in the Era of LLMs (LM4Plan @ AAAI 2025)! 📣 📣 📣 llmforplanning.github.io The new deadline is *November 28* AOE! #AIPlanning #LLM #AgenticAI
Big thanks to the organizers of HAXP-24 at #ICAPS24 for the invitation. It was fantastic to return to familiar ground and share my latest work. youtu.be/tgBex83dA60
youtube.com
YouTube
HAXP24 invited talk
If you wanna see a pic of the dream team as they were when they did much of the work described in the monograph, here is one..😍 2/
📢📢 Announcing the availability of our monograph on "Explainable Human-AI Interaction," co-authored with @sarath_ssreedh & @anaghapk (with the astral background presence of @tchakra2) on your neighborhood @arxiv.. Read, share, and build on it! 1/ 👉arxiv.org/abs/2405.15804
+1 to making HAAI rather than AGI the holy grail of AI. For one thing, it is actually more challenging than AGI.. Mental modeling capabilities are needed for assistance and coexistence; but not for pure autonomy.. bit.ly/3kMQL4e
I think we should be building systems that complement people; systems that do well the things that people do poorly; systems that make individuals and organizations more effective and more humane. 3/
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