Researcher Profile

Editor reviewed

Oriol Vinyals

Sequence models, large-scale ML

Research scientist at Google DeepMind

A high-signal researcher for understanding how DeepMind approaches generality, especially in areas where reinforcement learning, multimodality, and large-scale systems meet.

Organizations

Google DeepMind

Labs

Google DeepMind

Topics

Multimodal Systems & Infrastructure Agents & Reasoning Reinforcement Learning

About This Page

This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.

Last reviewed

March 18, 2026

Best First Clicks

DeepMind and Blizzard open StarCraft II as an AI research environmentarticle AlphaStar: Mastering the real-time strategy game StarCraft IIarticle GraphCast: Learned Global Weather Forecastingpaper

Known For

The ideas, systems, and research directions that make this person worth knowing.

Game-playing systems like AlphaStar

Reinforcement learning at scale

General-purpose model building across multiple domains

Sequence models, large-scale ML

Sequence to Sequence Learning with Neural Networks

DeepMind

Start Here

Canonical papers, project pages, or repositories that anchor this profile.

DeepMind and Blizzard open StarCraft II as an AI research environmentarticle AlphaStar: Mastering the real-time strategy game StarCraft IIarticle GraphCast: Learned Global Weather Forecastingpaper Sequence to Sequence Learning with Neural Networkspaper

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A high-signal reinforcement-learning researcher whose work sits on the path from AlphaGo-era planning systems to Gemini-era reasoning and post-training techniques.

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Start HereMastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

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