Seq2Seq Mimic Games: A Signaling Perspective

November 15, 2018 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Juan Leni, John Levine, John Quigley arXiv ID 1811.06564 Category cs.AI: Artificial Intelligence Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
We study the emergence of communication in multiagent adversarial settings inspired by the classic Imitation game. A class of three player games is used to explore how agents based on sequence to sequence (Seq2Seq) models can learn to communicate information in adversarial settings. We propose a modeling approach, an initial set of experiments and use signaling theory to support our analysis. In addition, we describe how we operationalize the learning process of actor-critic Seq2Seq based agents in these communicational games.
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