17 citations · 36 across the 5 of their papers we have counts for
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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★ 7 cited
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…