Researcher
Toby Pohlen
Current role not listed
Pohlen helped create MuZero, which learned to plan without being given the rules and reached superhuman performance in Go, chess, shogi and Atari games. He later became one of xAI's earliest technical team members, contributing deep reinforcement-learning experience to its founding group.
Career & education
Previously
SpaceXAI2023-2026Founding member
Google DeepMind2017-2023Research Engineer
SpaceXAI2023-2026Google DeepMind2017-2023Education
RWTH Aachen UniversityWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations10,943As of Oct 27, '26
citations+607Since last snapshot, Jun 15, '26
Selected contributions
Grandmaster level in StarCraft II using multi-agent reinforcement learning
With Oriol Vinyals, Igor Babuschkin, Wojciech Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi and others ·AlphaStar reached Grandmaster level in StarCraft II through competitive AI training.
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Reviewed August 13, 2026 · Checked for accuracy and new information.