English

Seq2Seq Mimic Games: A Signaling Perspective

Artificial Intelligence 2018-11-19 v1

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.

Keywords

Cite

@article{arxiv.1811.06564,
  title  = {Seq2Seq Mimic Games: A Signaling Perspective},
  author = {Juan Leni and John Levine and John Quigley},
  journal= {arXiv preprint arXiv:1811.06564},
  year   = {2018}
}

Comments

NIPS 2018 Workshop on Emergent Communication (accepted)

R2 v1 2026-06-23T05:17:31.102Z