16 citations · 38 across the 5 of their papers we have counts for
5 papers
Learning to Request Guidance in Emergent Communication
Benjamin Kolb, Leon Lang, Henning Bartsch +6
Previous research into agent communication has shown that a pre-trained guide can speed up the learning process of an imitation learning agent. The guide achieves this by providing…
Mastering emergent language: learning to guide in simulated navigation
Mathijs Mul, Diane Bouchacourt, Elia Bruni
To cooperate with humans effectively, virtual agents need to be able to understand and execute language instructions. A typical setup to achieve this is with a scripted teacher whi…
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul +1
Despite a multitude of empirical studies, little consensus exists on whether neural networks are able to generalise compositionally, a controversy that, in part, stems from a lack…
Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization
Mathijs Mul, Willem Zuidema
Can neural nets learn logic? We approach this classic question with current methods, and demonstrate that recurrent neural networks can learn to recognize first order logical entai…
Increasing altruistic and cooperative behaviour with simple moral nudges
Valerio Capraro, Glorianna Jagfeld, Rana Klein +2
The conflict between pro-self and pro-social behaviour is at the core of many key problems of our time, as, for example, the reduction of air pollution and the redistribution of sc…