Mean Field Equilibria for Competitive Exploration in Resource Sharing Settings
Pu Yang, Krishnamurthy Iyer, Peter Frazier

TL;DR
This paper models strategic agents exploring dynamic resources in shared locations, establishing the existence of threshold-based equilibria in large systems, which helps understand collective exploration and resource utilization.
Contribution
It introduces a mean field equilibrium model for competitive exploration with dynamic resources, revealing a threshold structure in large agent-location systems.
Findings
Existence of equilibrium with threshold structure
Agents' decisions depend on local resource levels and agent density
Insights into how system parameters influence exploration efficiency
Abstract
We consider a model of nomadic agents exploring and competing for time-varying location-specific resources, arising in crowdsourced transportation services, online communities, and in traditional location based economic activity. This model comprises a group of agents, and a set of locations each endowed with a dynamic stochastic resource process. Each agent derives a periodic reward determined by the overall resource level at her location, and the number of other agents there. Each agent is strategic and free to move between locations, and at each time decides whether to stay at the same node or switch to another one. We study the equilibrium behavior of the agents as a function of dynamics of the stochastic resource process and the nature of the externality each agent imposes on others at the same location. In the asymptotic limit with the number of agents and locations increasing…
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