2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2020
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman
Takuma Yoneda, Matthew R. Walter, Jason Naradowsky
In multi-agent learning, agents must coordinate with each other in order to succeed. For humans, this coordination is typically accomplished through the use of language. In this wo…
cs.CL2020
Emergent Communication with World Models
Alexander I. Cowen-Rivers, Jason Naradowsky
We introduce Language World Models, a class of language-conditional generative model which interpret natural language messages by predicting latent codes of future observations. Th…
cs.CL2016★ 2 cited
Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources
Jason Naradowsky, Sebastian Riedel
In order to extract event information from text, a machine reading model must learn to accurately read and interpret the ways in which that information is expressed. But it must al…