Mikayel Samvelyan
Scholar

Mikayel Samvelyan

Google Scholar ID: 2Qs19WAAAAAJ
Google DeepMind
Artificial IntelligenceReinforcement LearningOpen-EndednessMulti-Agent Learning
Citations & Impact
All-time
Citations
16,286
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
56
list available
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.