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06/14/2022
Severe Damage Recovery in Evolving Soft Robots through Differentiable Programming
Biological systems are very robust to morphological damage, but artifici...
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05/31/2022
Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry
Deep generative models can automatically create content of diverse types...
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03/14/2022
Physical Neural Cellular Automata for 2D Shape Classification
Materials with the ability to self-classify their own shape have the pot...
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01/28/2022
Variational Neural Cellular Automata
In nature, the process of cellular growth and differentiation has lead t...
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05/18/2021
Fast Game Content Adaptation Through Bayesian-based Player Modelling
In games, as well as many user-facing systems, adapting content to users...
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12/08/2020
EvoCraft: A New Challenge for Open-Endedness
This paper introduces EvoCraft, a framework for Minecraft designed to st...
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11/23/2020
Evolutionary Planning in Latent Space
Planning is a powerful approach to reinforcement learning with several d...
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11/13/2020
Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning
Recent work has shown promising results using Hebbian meta-learning to s...
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05/15/2020
Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error
Methods for dynamic difficulty adjustment allow games to be tailored to ...
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12/18/2018
Attend, Copy, Parse - End-to-end information extraction from documents
Document information extraction tasks performed by humans create data co...
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11/21/2017
Recurrent Relational Networks for Complex Relational Reasoning
Humans possess an ability to abstractly reason about objects and their i...
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08/24/2017
CloudScan - A configuration-free invoice analysis system using recurrent neural networks
We present CloudScan; an invoice analysis system that requires zero conf...
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07/16/2017