17 citations · 17 across the 2 of their papers we have counts for
3 papers
cs.AI2021
Bootstrapping of memetic from genetic evolution via inter-agent selection pressures
Nicholas Guttenberg, Marek Rosa
We create an artificial system of agents (attention-based neural networks) which selectively exchange messages with each-other in order to study the emergence of memetic evolution…
cs.AI2019★ 17 cited
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
Marek Rosa, Olga Afanasjeva, Simon Andersson +6
In this work, we propose a novel memory-based multi-agent meta-learning architecture and learning procedure that allows for learning of a shared communication policy that enables t…
cs.AI2019
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Jaroslav Vítků, Petr Dluhoš, Joseph Davidson +10
Research in Artificial Intelligence (AI) has focused mostly on two extremes: either on small improvements in narrow AI domains, or on universal theoretical frameworks which are usu…