Luca Viano
Scholar

Luca Viano

Google Scholar ID: E_dAUKEAAAAJ
EPFL
reinforcement learning
Citations & Impact
All-time
Citations
187
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
27
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top-tier conferences including ICML, COLT, NeurIPS, and WINE.
  • COLT 2025 paper with Antoine and Gergo.
  • Two ICML 2025 acceptances: one on interactive imitation learning in Markov Games, another on the SOAR algorithm.
  • ICML 2024 paper on imitation learning that removes an unrealistic assumption from prior work.
  • NeurIPS 2023 Spotlight award for work that beats a classic lower bound via a simple modification to online learning.
  • Several arXiv preprints on offline imitation learning, online learning with bandit feedback, and RLHF (Reinforcement Learning from Human Feedback).
  • June 2025 breakthrough: offline imitation learning without policy realizability in Q^pi-realizable MDPs (with Antoine and Gergo).
Research Experience
  • Worked as a Data Scientist at Datapred.
  • Starting a summer internship at Amazon, Sunnyvale, California in June 2025.
  • Co-organizing the Virtual RL Theory Seminars.
  • Co-organized the Multi Agent RL Summer School in August 2024.
  • Visited Gergely Neu in Barcelona for four months (Sep 2023–Jan 2024) under ELLIS support.