1 citations · 2 across the 2 of their papers we have counts for
4 papers
Decoding Communications with Partial Information
Dylan Cope, Peter McBurney
Machine language acquisition is often presented as a problem of imitation learning: there exists a community of language users from which a learner observes speech acts and attempt…
Mimicry and the Emergence of Cooperative Communication
Dylan Cope, Peter McBurney
In many situations, communication between agents is a critical component of cooperative multi-agent systems, however, it can be difficult to learn or evolve. In this paper, we inve…
The Topos of Transformer Networks
Mattia Jacopo Villani, Peter McBurney
The transformer neural network has significantly out-shined all other neural network architectures as the engine behind large language models. We provide a theoretical analysis of…
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Dylan Cope, Peter McBurney
In Emergent Communication (EC) agents learn to communicate with one another, but the protocols that they develop are specialised to their training community. This observation led t…