Learning to move in crowd

Abstract

The main goal of the crowd simulation is to generate realistic movements of agents. Reproducing the mechanism that seeing the environments, understanding current situation, and deciding where to step is crucial point to simulating crowd movements. We formulate the process of walking mechanism using deep reinforcement learning. And we experiment some typical scenarios.