Rodrigo Toro Icarte
Scholar

Rodrigo Toro Icarte

Google Scholar ID: XM4X4loAAAAJ
Professor of Computer Science, Pontificia Universidad Católica de Chile
Artificial IntelligenceReinforcement Learning
Citations & Impact
All-time
Citations
1,800
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
34
list available
Resume (English only)
Academic Achievements
  • Published a preprint paper titled 'Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks.'
Research Experience
  • Conducts research in the knowledge representation group at the University of Toronto and is a member of the Canadian Artificial Intelligence Association and the Vector Institute. His PhD thesis is titled 'Reward Machines,' which addresses sample efficiency and partial observability in reinforcement learning.
Education
  • PhD student at the University of Toronto, supervised by Sheila McIlraith; undergraduate and master's degrees from Pontificia Universidad Católica de Chile, co-supervised by Alvaro Soto and Jorge Baier during his master's.
Background
  • Research direction is in artificial intelligence, focusing on the core aspects of knowledge, reasoning, and learning to build general-purpose agents with theoretical guarantees and state-of-the-art performance.
Miscellany
  • Taught the undergraduate course 'Introduction to Computer Programming' at Pontificia Universidad Católica de Chile.