91 citations · 104 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
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…
Meta-learning Extractors for Music Source Separation
David Samuel, Aditya Ganeshan, Jason Naradowsky
We propose a hierarchical meta-learning-inspired model for music source separation (Meta-TasNet) in which a generator model is used to predict the weights of individual extractor m…
Machine Translation System Selection from Bandit Feedback
Jason Naradowsky, Xuan Zhang, Kevin Duh
Adapting machine translation systems in the real world is a difficult problem. In contrast to offline training, users cannot provide the type of fine-grained feedback (such as corr…