Benchmarking the next generation of never-ending learners
[ad_1] Notes References [1] John M Jumper, Richard Evans, Alexander Pritzel, Tim Inexperienced, Michael Figurnov, Olaf Ron-neberger, Kathryn Tunyasuvunakool, Russ ...
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Building interactive agents in video game worlds
[ad_1] Notes [1] Abramson, J., Ahuja, A., Barr, I., Brussee, A., Carnevale, F., Cassin, M., Chhaparia, R., Clark, S., Damoc, ...
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DeepMind’s latest research at NeurIPS 2022
[ad_1] Advancing best-in-class giant fashions, compute-optimal RL brokers, and extra clear, moral, and truthful AI programs The thirty-sixth Worldwide Convention ...
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Mastering Stratego, the classic game of imperfect information
[ad_1] Analysis Revealed 1 December 2022 Authors Julien Perolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub and Karl ...
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AI for the board game Diplomacy
[ad_1] Analysis Revealed 6 December 2022 Authors Yoram Bachrach, János Kramár Brokers cooperate higher by speaking and negotiating, and sanctioning ...
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Competitive programming with AlphaCode – Google DeepMind
[ad_1] Analysis Printed 8 December 2022 Authors The AlphaCode group Observe: This weblog was first revealed on 2 Feb 2022. ...
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Announcing Google DeepMind – Google DeepMind
[ad_1] Earlier as we speak we introduced some modifications that may speed up our progress in AI and assist us ...
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How can we build human values into AI?
[ad_1] Duty & Security Printed 24 April 2023 Authors Iason Gabriel and Kevin McKee Drawing from philosophy to determine truthful ...
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DeepMind’s latest research at ICLR 2023
[ad_1] Analysis in the direction of AI fashions that may generalise, scale, and speed up science Subsequent week marks the ...
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An early warning system for novel AI risks
[ad_1] Duty & Security Printed 25 Might 2023 Authors Toby Shevlane New analysis proposes a framework for evaluating general-purpose fashions ...
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