PeopleofSuperintelligence

Researcher

Amir Sadik

Amir Sadik is a games tester at Google DeepMind whose name appears on three papers about game-playing and navigating AI agents. In February 2015, he was a co-author of the Nature paper on the deep Q-network, an agent that learned to play 49 classic Atari 2600 games at a level comparable to a professional human games tester, and he was among the authors who created its testing platform. He co-authored the DeepMind Lab paper in December 2016, which describes a first-person 3D game platform for AI research. In May 2018, he served as the human expert tester for a Nature paper on grid-like representations that help artificial agents navigate.

Timeline

  1. February 2015

    Co-authoring the DQN paper

    In February 2015, he is a co-author of the Nature paper "Human-level control through deep reinforcement learning" from Google DeepMind in London. In it, a deep Q-network agent learns to play 49 classic Atari 2600 games at a level comparable to a professional human games tester.

  2. 2015

    The Atari testing platform

    On the deep Q-network project in 2015, he is one of nine authors credited with creating the testing platform.

  3. December 2016

    Author of DeepMind Lab

    In December 2016, he is among the authors of DeepMind Lab, a first-person 3D game platform designed for research and development of general artificial intelligence and machine learning systems.

  4. 2018

    Human expert tester for navigation

    In May 2018, he co-authors the Nature paper "Vector-based navigation using grid-like representations in artificial agents" with DeepMind colleagues, and serves as its human expert tester. In the paper, agents endowed with grid-like representations surpass an expert human and comparison agents.

  5. As of October 2026

    Games tester at Google DeepMind

    He is a games tester at Google DeepMind.

  1. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  2. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.
  3. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Google. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Sources and credits

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  1. Human-level control through deep reinforcement learning | Nature nature.com. Checked 21 October 2026.
  2. Human-level control through deep reinforcement learning (IDEAS/RePEc) ideas.repec.org. Checked 21 October 2026.
  3. [1612.03801] DeepMind Lab arxiv.org. Checked 21 October 2026.
  4. Vector-based navigation using grid-like representations in artificial agents | Nature nature.com. Checked 21 October 2026.
  5. Vector-based navigation using grid-like representations in artificial agents (IDEAS/RePEc) ideas.repec.org. Checked 21 October 2026.
  6. Amir Sadik | DeepAI deepai.org. Checked 21 October 2026.