Jakob Foerster
All AI mindsAI advancement report · generated from Jakob Foerster's indicators
Jakob Foerster — full AI read
Jakob Foerster — Associate Professor of Engineering Science, University of Oxford (United Kingdom) — ranks #218/520 on the AI Advancement Index (72.1). Known for Pioneer of deep multi-agent RL; counterfactual multi-agent policy gradients (COMA), learning with opponent-learning awareness (LOLA); Hanabi and zero-shot coordination.
Role
Associate Professor of Engineering Science
Affiliation
University of Oxford
Country
United Kingdom
Field
Reinforcement learning
Known for
Pioneer of deep multi-agent RL; counterfactual multi-agent policy gradients (COMA), learning with opponent-learning awareness (LOLA); Hanabi and zero-shot coordination
Dimension read
| Dimension | Value | Standing | What a high vs low value means — and where Jakob Foerster sits |
|---|---|---|---|
| AAI AI Advancement (AAI) | 72.1 | Moderate · #216/520 | Mid-pack. High would mean among the very top minds advancing AI; low would mean lower relative influence within this elite set. ▲ high: among the very top minds advancing AI · ▼ low: lower relative influence within this elite set |
| Research influence Research influence | 78.0 | Moderate · #197/520 | Mid-pack. High would mean field-defining research contributions; low would mean limited direct research influence. ▲ high: field-defining research contributions · ▼ low: limited direct research influence |
| Frontier role Frontier role | 68.0 | Moderate · #264/520 | Mid-pack. High would mean central to building today's frontier AI; low would mean removed from frontier development. ▲ high: central to building today's frontier AI · ▼ low: removed from frontier development |
| Thought leadership Thought leadership | 65.0 | Moderate · #266/520 | Mid-pack. High would mean shapes how the field and public think about AI; low would mean limited public/field influence. ▲ high: shapes how the field and public think about AI · ▼ low: limited public/field influence |
| Field-building Field-building | 68.0 | Moderate · #271/520 | Mid-pack. High would mean builds the field — mentorship, institutions, tools, community; low would mean limited field-building footprint. ▲ high: builds the field — mentorship, institutions, tools, community · ▼ low: limited field-building footprint |
| Momentum Momentum | 80.0 | Moderate · #202/520 | Mid-pack. High would mean driving AI's advancement right now; low would mean less active at the current frontier. ▲ high: driving AI's advancement right now · ▼ low: less active at the current frontier |
Strengths
- No standout dimension.
Risk factors
- A significant, well-rounded contributor to AI's advancement.
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These are model outputs and scenarios, not forecasts of actual outcomes. This platform measures access to, utilization of, and leverage from cognitive infrastructure — not intelligence. No causality or certainty is claimed.