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Reinforcement Learning Model Development and Comparison


Term:

Summer

Department:

4: Architecture

Faculty Supervisor:

Takehiko Nagakura

Faculty email:

takehiko@MIT.EDU

Apply by:

Contact:

Paloma Francisca Gonzalez Rojas <palomagr@mit.edu>

Project Description

We are using human trajectory data from drone videos from Machu Picchu to feed to 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.

Pre-requisites

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