About Me

I'm Miguel González Duque, a mathematician from the Universidad Nacional de Colombia. I'm mostly interested in the intersection between probabilistic modeling and geometry.

I'm currently a PhD student at the Creative AI Lab at the IT University of Copenhagen, under the supervision of Prof. Sebastian Risi. We are developing systems that create and adapt game content to users. I have also started collaborating with Søren Hauberg's lab at DTU, working on generative modelling and differential geometry.

Feel free to contact me at miguelgondu(at)gmail(dot)com.

Some publications

Pulling back information geometry

We induced geometries in latent space by pulling back the Fisher-Rao metric.

arxiv

---

Fast Game Content Adaptation Through Bayesian-based Player Modelling

We applied a Bayesian Optimization approach to dynamically adjusting difficulty.

arxiv

---

Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error

We used Gaussian Processes and Bayesian Optimization to find good levels for one bot using a prior from another bot.

arxiv - publication

---

Learning a Behavioral Repertoire from Demonstrations

We conditioned a StarCraft2 bot on strategies and optimized for the best strategy. This image was made by Niels Justesen.

arxiv - publication - code

---

Neural Networks that express multiple strategies in the video game StarCraft 2

My M.Sc. Thesis (Mathematics at UNAL-Med). During my first stay at ITU, I collaborated with Niels, Sebastian and Daniel Cabarcas on applying dimensionality reduction to strategies, and creating bots for StarCraft 2.

publication

---