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Miguel González Duque

4 papers hereh-index 4111 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedVariational Neural Cellular Automata

6 citations · 7 across the 2 of their papers we have counts for

collaborators

4 papers

cs.NE2022★ 6 cited

Variational Neural Cellular Automata

Rasmus Berg Palm, Miguel González-Duque, Shyam Sudhakaran +1

In nature, the process of cellular growth and differentiation has lead to an amazing diversity of organisms -- algae, starfish, giant sequoia, tardigrades, and orcas are all create…

cs.AI2021★ 1 cited

Fast Game Content Adaptation Through Bayesian-based Player Modelling

Miguel González-Duque, Rasmus Berg Palm, Sebastian Risi

In games, as well as many user-facing systems, adapting content to users' preferences and experience is an important challenge. This paper explores a novel method to realize this g…

cs.AI2020

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

Miguel González-Duque, Rasmus Berg Palm, David Ha +1

Methods for dynamic difficulty adjustment allow games to be tailored to particular players to maximize their engagement. However, current methods often only modify a limited set of…

cs.LG2019

Learning a Behavioral Repertoire from Demonstrations

Niels Justesen, Miguel Gonzalez Duque, Daniel Cabarcas Jaramillo +2

Imitation Learning (IL) is a machine learning approach to learn a policy from a dataset of demonstrations. IL can be useful to kick-start learning before applying reinforcement lea…

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