17 citations · 17 across the 2 of their papers we have counts for
3 papers
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…
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…
General AI Challenge - Round One: Gradual Learning
Jan Feyereisl, Matej Nikl, Martin Poliak +2
The General AI Challenge is an initiative to encourage the wider artificial intelligence community to focus on important problems in building intelligent machines with more general…