Scholar
Mikayel Samvelyan
Google Scholar ID: 2Qs19WAAAAAJ
Google DeepMind
Artificial Intelligence
Reinforcement Learning
Open-Endedness
Multi-Agent Learning
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Citations & Impact
All-time
Citations
16,286
H-index
14
i10-index
17
Publications
20
Co-authors
56
list available
Contact
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Publications
2 items
Robust Agents in Open-Ended Worlds
2025
Cited
0
Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms
2025
Cited
0
Resume (English only)
Academic Achievements
Developed widely-used multi-agent RL tools: QMIX method and SMAC benchmark.
Released SMACv2 (accepted at NeurIPS 2023) and MADRID (accepted at AAMAS 2024).
MAESTRO accepted at ICLR 2023.
Proposed Rainbow Teaming (NeurIPS 2024), an approach for generating diverse adversarial prompts to improve LLM robustness.
Contributed to the release of Meta Llama 3 (2024), the most capable openly available LLM to date.
Developed JaxMARL (accepted at NeurIPS 2024).
Co-organized the 2nd Workshop on Agent Learning in Open-Endedness (ALOE) at NeurIPS 2023.
Delivered a keynote on 'Agent Learning in Open-Endedness' at NeurIPS 2024.
Co-authors
56 total
Jakob Foerster
Associate Professor, University of Oxford
Shimon Whiteson
Professor of Computer Science, University of Oxford / Senior Staff Research Scientist, Waymo
Christian Schroeder de Witt
University of Oxford
Tim Rocktäschel
Director and Open-Endedness Team Lead at Google DeepMind, Professor of AI at UCL, Fellow ELLIS
Tabish Rashid
Microsoft Research
Minqi Jiang
Meta Superintelligence Labs
Jack Parker-Holder
Google DeepMind, UCL
Gregory Farquhar
DeepMind
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