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AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents
Agents were trained under three different regimes (one-shot, scaffolding, interactive), and the results showed that the latter two cases outperform direct training in terms of generalization capabilities.
APOGeT: Automated Phylogeny over Geological Time-scales
To tackle the challenge of producing tractable phylogenetic trees in contexts where complete information is available, we introduce APOGeT: an online, pluggable, clustering algorithm for a stream of genomes.
Interactive embodied evolution for socially adept Artificial General Creatures
We introduce here the concept of Artificial General Creatures (AGC) which encompasses "robotic or virtual agents with a wide enough range of capabilities to ensure their continued survival".
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