Language Learning in Multi-Agent Systems
Martin Allen
Claudia V. Goldman
Shlomo Zilberstein
Abstract
We present the problem of learning to communicate
in decentralized and stochastic environments,
analyzing it formally in a decision-theoretic context
and illustrating the concept experimentally. Our approach
allows agents to converge upon coordinated
communication and action over time.
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