Igor Babuschkin

TL;DR: The agent, AlphaStar, is evaluated, which uses a multi-agent reinforcement learning algorithm and has reached Grandmaster level, ranking among the top 0.2% of human players for the real-time strategy game StarCraft II.

TL;DR: In this paper, a test of lepton universality, performed by measuring the ratio of the branching fractions of the $B^{0} \rightarrow K^{*0}\mu+}\mu^{+}e^{-}$ decays, is presented.

TL;DR: In this article, a test of lepton universality is performed by measuring the ratio of the branching fractions of the B$0$ → K$*0}$ e$+}$ π$−}$ decays, and the ratio is measured in two regions of the dilepton invariant mass squared.

TL;DR: Yujia Li*, David Choi*, Junyoung Chung*, Nate Kushman*, Julian Schrittwieser*, Rémi Leblond*, Tom Eccles*, James Keeling*, Felix Gimeno*, Agustin Dal Lago*, Thomas Hubert*, Peter Choy*, Cyprien de Masson d’Autume*, Igor Babuschkin, Xinyun Chen

TL;DR: The authors introduced Probability Density Distillation, a new method for training a parallel feed-forward network from a trained WaveNet with no significant difference in quality, which is capable of generating high-fidelity speech samples at more than 20 times faster than real-time, and is deployed online by Google Assistant.