Antoine Moulin
Scholar

Antoine Moulin

Google Scholar ID: W6d2vtMAAAAJ
Universitat Pompeu Fabra
Reinforcement LearningOnline Learning
Citations & Impact
All-time
Citations
190
 
H-index
4
 
i10-index
1
 
Publications
7
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top-tier conferences like NeurIPS, ICML, and AISTATS, including 'Inverse Q-Learning Done Right: Offline Imitation Learning in Q_π-Realizable MDPs' and 'Optimistic Planning by Regularized Dynamic Programming'.
Research Experience
  • Organized multiple international conferences and workshops such as ICML workshop and virtual RL theory seminars; interned in London focusing on uncertainty quantification, specifically computing finite-time predictive confidence intervals for general function classes; gave talks at several universities and research institutions both domestically and internationally.
Education
  • PhD student at University Pompeu Fabra since December 2021, co-advised by Gergely Neu and Arthur Gretton.
Background
  • PhD student in reinforcement learning (RL), with research interests in the challenges of large-scale RL, structural properties of MDPs, online learning, offline reinforcement learning, representation learning, and learning theory more broadly.
Miscellany
  • While personal interests are not explicitly mentioned, actively involved in the academic community, organizing reading groups and participating in events like the ELLIS Doctoral Symposium.