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Representation of the interior of a tokamak
Technical blog
RoboCat: A self-improving robotic agent
June 20, 2023
Representation of the interior of a tokamak
Applied
Optimising computer systems with more generalised AI tools
June 7, 2023
Representation of the interior of a tokamak
Applied
AlphaDev discovers faster sorting algorithms
June 7, 2023
Representation of the interior of a tokamak
Technical blog
An early warning system for novel AI risks
May 25, 2023
Representation of the interior of a tokamak
Events
DeepMind’s latest research at ICLR 2023
April 27, 2023
Representation of the interior of a tokamak
Research
How can we build human values into AI?
April 24, 2023

Latest research

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Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games
Zun Li, Marc Lanctot, Kevin McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Paul Muller, Michael Wellman *
AAMAS
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Publication
Is forgetting less a good inductive bias for forward transfer?
Arslan Chaudhry, Jiefeng Chen, Timothy Nguyen, Dilan Gorur
ICLR
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Paper
Publication
Meta-Learning Black-Box Optimization via Black-Box Optimization
Robert Lange, Tom Schaul, Tom Zahavy, Yutian Chen, Valentin Dalibard, Chris Lu, Satinder Baveja, Sebastian Flennerhag
ICLR
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Paper
Publication
Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games
Luke Marris, Ian Gemp, Georgios Piliouras
arXiv
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Publication
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation
Xu Han *, Xiaohui Chen *, Francisco Ruiz, Liping Liu *
JMLR
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Paper
Publication
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Aida Nematzadeh, Phil Blunsom *
EACL
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