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Amir Sadik
Researcher at Google
Publications - 3
Citations - 23622
Amir Sadik is an academic researcher from Google. The author has contributed to research in topics: Artificial neural network & Reinforcement learning. The author has an hindex of 3, co-authored 3 publications receiving 16077 citations.
Papers
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Journal ArticleDOI
Human-level control through deep reinforcement learning
Volodymyr Mnih,Koray Kavukcuoglu,David Silver,Andrei Rusu,Joel Veness,Marc G. Bellemare,Alex Graves,Martin Riedmiller,Andreas K. Fidjeland,Georg Ostrovski,Stig Petersen,Charles Beattie,Amir Sadik,Ioannis Antonoglou,Helen King,Dharshan Kumaran,Daan Wierstra,Shane Legg,Demis Hassabis +18 more
TL;DR: This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks.
Journal ArticleDOI
Vector-based navigation using grid-like representations in artificial agents
Andrea Banino,Caswell Barry,Benigno Uria,Charles Blundell,Timothy P. Lillicrap,Piotr Mirowski,Alexander Pritzel,Martin J. Chadwick,Thomas Degris,Joseph Modayil,Greg Wayne,Hubert Soyer,Fabio Viola,Brian Hu Zhang,Ross Goroshin,Neil C. Rabinowitz,Razvan Pascanu,Charles Beattie,Stig Petersen,Amir Sadik,Stephen Gaffney,Helen King,Koray Kavukcuoglu,Demis Hassabis,Raia Hadsell,Dharshan Kumaran +25 more
TL;DR: These findings show that emergent grid-like representations furnish agents with a Euclidean spatial metric and associated vector operations, providing a foundation for proficient navigation, and support neuroscientific theories that see grid cells as critical for vector-based navigation.
Posted Content
DeepMind Lab
Charles Beattie,Joel Z. Leibo,Denis Teplyashin,Tom Ward,Marcus Wainwright,Heinrich Küttler,Andrew Lefrancq,Simon Green,Víctor Valdés,Amir Sadik,Julian Schrittwieser,Keith Anderson,Sarah York,Max Cant,Adam Cain,Adrian Bolton,Stephen Gaffney,Helen King,Demis Hassabis,Shane Legg,Stig Petersen +20 more
TL;DR: DeepMind Lab as mentioned in this paper is a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems DeepMind Lab can be used to study how autonomous artificial agents may learn complex tasks in large, partially observed, and visually diverse worlds.