Sebastian Risi

Video Game Description Language Environment for Unity Machine Learning Agents

2019 · 2019 IEEE Conference on Games (CoG)

This paper introduces UnityVGDL, a port of the Video Game Description Language (VGDL) to the widely used Unity game engine. Our framework is based on the General Video Game AI (GVGAI) competition framework and implements …

Testing the Genomic Bottleneck Hypothesis in Hebbian Meta-Learning

2020 · IT University Of Copenhagen (IT University of Copenhagen)

Hebbian meta-learning has recently shown promise to solve hard reinforcement learning problems, allowing agents to adapt to some degree to changes in the environment. However, because each synapse in these approaches can learn a very …

Minimal neural network models for permutation invariant agents

2022 · Proceedings of the Genetic and Evolutionary Computation Conference

Organisms in nature have evolved to exhibit flexibility in face of changes to the environment and/or to themselves. Artificial neural networks (ANNs) have proven useful for controlling of artificial agents acting in environments. However, most …

From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models

2024

Large Language Models (LLMs) have taken the field of AI by storm, but their adoption in the field of Artificial Life (ALife) has been, so far, relatively reserved. In this work we investigate the potential …