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Emergent Communication Workshop
Jakob Foerster · Igor Mordatch · Angeliki Lazaridou · Kyunghyun Cho · Douwe Kiela · Pieter Abbeel

Sat Dec 09 08:00 AM -- 06:30 PM (PST) @ S4
Event URL: https://sites.google.com/site/emecom2017/ »

Communication is one of the most impressive human abilities. The question of how communication arises has been studied for many decades, if not centuries. However, due to the computational and representational limitations, in the past problem-settings had to be restricted to low dimensional, simple observation spaces. With the rise of deep reinforcement learning methods, this question can now be studied in complex multi-agent settings, which has lead to flourishing activity in the area over the last two years. In these settings agents can learn to communicate in grounded multi-modal environments and rich communication protocols emerge.

However, the recent research has been largely disconnected from the study of emergent communication in other fields and even from work done on this topic in previous decades. This workshop will provide a forum for a variety of researchers from different fields (machine learning, game-theory, linguistics, cognitive science, and programming languages) interested in the question of communication and emergent language to exchange ideas.


Author Information

Jakob Foerster (University of Oxford)

Jakob Foerster received a CIFAR AI chair in 2019 and is starting as an Assistant Professor at the University of Toronto and the Vector Institute in the academic year 20/21. During his PhD at the University of Oxford, he helped bring deep multi-agent reinforcement learning to the forefront of AI research and interned at Google Brain, OpenAI, and DeepMind. He has since been working as a research scientist at Facebook AI Research in California, where he will continue advancing the field up to his move to Toronto. He was the lead organizer of the first Emergent Communication (EmeCom) workshop at NeurIPS in 2017, which he has helped organize ever since.

Igor Mordatch (OpenAI)
Angeliki Lazaridou (DeepMind)
Kyunghyun Cho (NYU)

Kyunghyun Cho is an associate professor of computer science and data science at New York University and a research scientist at Facebook AI Research. He was a postdoctoral fellow at the Université de Montréal until summer 2015 under the supervision of Prof. Yoshua Bengio, and received PhD and MSc degrees from Aalto University early 2014 under the supervision of Prof. Juha Karhunen, Dr. Tapani Raiko and Dr. Alexander Ilin. He tries his best to find a balance among machine learning, natural language processing, and life, but almost always fails to do so.

Douwe Kiela (Facebook AI Research)
Pieter Abbeel (University of California, Berkley & OpenAI)

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