[1709.04511] An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning
Francis Tseng

Abstract: In this paper, we conduct an empirical study on discovering the ordered collective dynamics obtained by a population of artificial intelligence (AI) agents. Our intention is to put AI agents into a simulated natural context, and then to understand their induced dynamics at the population level.