publication . Preprint . 2017

A Study of AI Population Dynamics with Million-agent Reinforcement Learning

Yang, Yaodong; Yu, Lantao; Bai, Yiwei; Wang, Jun; Zhang, Weinan; Wen, Ying; Yu, Yong;
Open Access English
  • Published: 13 Sep 2017
Abstract
We conduct an empirical study on discovering the ordered collective dynamics obtained by a population of intelligence agents, driven by million-agent reinforcement learning. Our intention is to put intelligent agents into a simulated natural context and verify if the principles developed in the real world could also be used in understanding an artificially-created intelligent population. To achieve this, we simulate a large-scale predator-prey world, where the laws of the world are designed by only the findings or logical equivalence that have been discovered in nature. We endow the agents with the intelligence based on deep reinforcement learning (DRL). In orde...
Subjects
ACM Computing Classification System: ComputingMethodologies_ARTIFICIALINTELLIGENCE
free text keywords: Computer Science - Artificial Intelligence, Computer Science - Learning, Computer Science - Multiagent Systems
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Selfishness [6] Thomas D Seeley. The wisdom of the hive: the social physiology of honey bee colonies. Harvard University Press, 2009.

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