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Lecture Notes in Computer Science
There are various techniques for simulating crowds, however, in most cases the quality of the simulation is measured by examining its "look-and-feel". Even if the aggregate movement of the crowd looks natural from afar, the behaviors of individuals might look odd when examined more closely. In this paper we present a data-driven approach for evaluating the behaviors of individuals within a simulated crowd. Each decision of an individual agent is expressed as a state-action pair, which stores adoi:10.1007/978-3-642-10347-6_7 fatcat:o3a5qqlgerft3gasfu3gqd4ih4