profile picture

Ruiqi He

Doctoral student @ Max Planck Institute For Intelligent Systems

planning

task decomposition

cognitive modelling

hierarchies

3

presentations

3

number of views

SHORT BIO

I am a Ph.D. student at the Max Planck Institute for Intelligent Systems in Tübingen. My research focuses on understanding how people learn how to plan. For this, I design and conduct online experiments to collect human behavior data and apply metacognitive reinforcement learning models to explain the underlying learning mechanism. I received my B.Sc. Statistics and Economics as well as M.Sc. Computational Statistics and Machine Learning from University College London (UCL). My research interests include cognitive modelling, reinforcement learning, multi-agent systems and game theory.

Presentations

Structurally Guided Task Decomposition in Spatial Navigation Tasks (Student Abstract) | VIDEO

Ruiqi He and 3 other authors

What are the mechanisms underlying metacognitive learning?

Ruiqi He and 1 other author

Learning planning strategies without feedback

Srinidhi Srinivas and 2 other authors

Stay up to date with the latest Underline news!

Select topic of interest (you can select more than one)

PRESENTATIONS

  • All Lectures
  • For Librarians
  • Resource Center
  • Free Trial
Underline Science, Inc.
1216 Broadway, 2nd Floor, New York, NY 10001, USA

© 2025 Underline - All rights reserved