Gabriel Dulac-Arnold
Scholar

Gabriel Dulac-Arnold

Google Scholar ID: fMN7wNwAAAAJ
Google DeepMind
Reinforcement LearningPlanning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
6,098
 
H-index
22
 
i10-index
26
 
Publications
20
 
Co-authors
20
list available
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • All publications can be found on Google Scholar
Research Experience
  • 2023-present: Researcher, Google DeepMind; 2019-2023: Researcher, Google Brain; 2017-2019: R&D Projects, Blacksheep.ai; 2014-2017: Research Scientist, DeepMind
Education
  • 2010-2014: PhD, Computer Science, Sorbonne Université, supervised by Ludovic Denoyer & Patrick Gallinari; 2005-2010: 'Diplome d'Ingénieur', Informatics, INSA Lyon
Background
  • Research Interest: Applying reinforcement learning in real-world scenarios; Personal Summary: Spends part of the day figuring out how to get reinforcement learning working in real-world scenarios.
Miscellany
  • Hobbies include surfing, sailing, and climbing
Co-authors
20 total
Co-author 1
Co-author 1
Co-author 2
Co-author 2
Olivier Pietquin
Olivier Pietquin
Earth Species Project | ex Google DeepMind (On leave - Professor at University of Lille)
Tom Schaul
Tom Schaul
Senior Staff Scientist, DeepMind
Co-author 5
Co-author 5
Ludovic Denoyer
Ludovic Denoyer
Lead Agent research at H -- Full Professor at Sorbonne Universités on Sabatical
Co-author 7
Co-author 7
Co-author 8
Co-author 8