Curriculum-Driven Multi-Agent Learning and the Role of Implicit Communication in Teamwork

• URL: http://arxiv.org/abs/2106.11156v1
• Date: Mon, 21 Jun 2021 14:54:07 GMT
• Title: Curriculum-Driven Multi-Agent Learning and the Role of Implicit Communication in Teamwork
• Authors: Niko A. Grupen, Daniel D. Lee, Bart Selman
• Abstract summary: We propose a curriculum-driven learning strategy for solving difficult multi-agent coordination tasks. We argue that emergent implicit communication plays a large role in enabling superior levels of coordination.
• Score: 24.92668968807012
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose a curriculum-driven learning strategy for solving difficult multi-agent coordination tasks. Our method is inspired by a study of animal communication, which shows that two straightforward design features (mutual reward and decentralization) support a vast spectrum of communication protocols in nature. We highlight the importance of similarly interpreting emergent communication as a spectrum. We introduce a toroidal, continuous-space pursuit-evasion environment and show that naive decentralized learning does not perform well. We then propose a novel curriculum-driven strategy for multi-agent learning. Experiments with pursuit-evasion show that our approach enables decentralized pursuers to learn to coordinate and capture a superior evader, significantly outperforming sophisticated analytical policies. We argue through additional quantitative analysis -- including influence-based measures such as Instantaneous Coordination -- that emergent implicit communication plays a large role in enabling superior levels of coordination.

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