
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