activity
20162023
most citedLearning compositionally through attentive guidance

19 citations · 62 across the 17 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CL2020

The Grammar of Emergent Languages

Oskar van der Wal, Silvan de Boer, Elia Bruni +1

In this paper, we consider the syntactic properties of languages emerged in referential games, using unsupervised grammar induction (UGI) techniques originally designed to analyse…

cs.CL2020

Internal and external pressures on language emergence: least effort, object constancy and frequency

Diana Rodríguez Luna, Edoardo Maria Ponti, Dieuwke Hupkes +1

In previous work, artificial agents were shown to achieve almost perfect accuracy in referential games where they have to communicate to identify images. Nevertheless, the resultin…

cs.LG2020★ 4 cited

Compositional properties of emergent languages in deep learning

Bence Keresztury, Elia Bruni

Recent findings in multi-agent deep learning systems point towards the emergence of compositional languages. These claims are often made without exact analysis or testing of the la…

cs.AI2020★ 1 cited

Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning

Michiel van der Meer, Matteo Pirotta, Elia Bruni

In this work, we present an alternative approach to making an agent compositional through the use of a diagnostic classifier. Because of the need for explainable agents in automate…

cs.CL2020

Co-evolution of language and agents in referential games

Gautier Dagan, Dieuwke Hupkes, Elia Bruni

Referential games offer a grounded learning environment for neural agents which accounts for the fact that language is functionally used to communicate. However, they do not take i…

cs.AI2020

Generalizing Emergent Communication

Thomas A. Unger, Elia Bruni

We converted the recently developed BabyAI grid world platform to a sender/receiver setup in order to test the hypothesis that established deep reinforcement learning techniques ar…