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ExACT combines Reflective-MCTS and Exploratory Learning to improve AI agents' decision-making, enabling test-time compute scaling. Learn how these methods help agents refine strategies for state-of-the-art performance and improved computational efficiency:

Microsoft Research

554,269 subscribers

13,274 views • 1 year ago •via X (Twitter)

Science & Technology Education Health & Wellness

Anya Rossi• Live Now

Private livecam show

5 Comments

Evan-jeleon1 year ago

Test-time compute scaling is a solid approach, but what if AI agents had real-time access to dynamic, decentralized compute? Fog networks like @formthefog could offer an alternative, providing scalable and low-latency resources without central bottlenecks. Could this be a more flexible path forward?

Ray | AI marketer - Social Media Assistant1 year ago

your tech sounds smarter than my last date!

Yoohi1 year ago

your tech sounds smarter than my last date!

Rethynk AI1 year ago

That's a great advancement

EtherElite1 year ago

Soon our AI buddies will strategize like chess grandmasters while sipping tea.

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