Call for Papers
Some sample questions that we would like to explore are:
How can ad-hoc coordination/communication between algorithms and strangers work?
What lessons from zero-shot learning can be transferred to multi-agent systems?
Is natural language the best possible protocol for zero-shot cooperation?
How can theory of mind be used in zero-shot cooperation?
Which role can reasoning play in deep emergent communication?
We invite submissions from researchers both inside and outside the machine learning community in the following areas:
multi-agent communication
grounding emergent protocols to natural language
compositionality in emergent/natural languages
linguistic generalization
learning cognitive skills through language
language evolution
deep multi-agent learning
Submission Deadline: 16th October 2020 at 23:59 Anywhere on Earth
Submission Website: https://cmt3.research.microsoft.com/EmeCom2020
Submission Format: either extended abstracts (4 pages) or full papers (8 pages) anonymously using:
References and appendix should be appended into the same (single) PDF document, and do not count towards the page count. The camera-ready version of the papers should use the NeurIPS 2020 style guidelines.
All accepted papers will be part of a virtual poster session. There will be no formal publication of workshop proceedings. However, the accepted papers will be made available online on the workshop website as non-archival reports to allow submissions to future conferences/journals.
For any queries, reach out to us at emecomworkshop@gmail.com