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Reinforcement Learning Model Development and Comparison




4: Architecture

Faculty Supervisor:

Takehiko Nagakura

Faculty email:


Apply by:

September 15 (13 to prepare funding application)


Paloma Gonzalez: palomagr@mit.edu

Project Description

We are using human trajectory data to feed a Reinforcement Learning Model in Unity3D. We have two training approaches to compare, Exploratory RL and Imitation Learning. For each a training scene is set up with rewards and a curated label system. Such scenes have been set up, and the main task is to test them in order to do a quantitative/qualitative comparison. 3 positions available.


C# and Python programming skills in medium level, object oriented programming, Reinforcement Learning experience / knowledge Unity3D experience