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CCP: Configurable Crowd Profiles
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DescriptionWe present a reinforcement learning based framework to learn multiple agent behaviors concurrently. We optimize the agent policy by varying the importance of selected behaviors (goal seeking, collision avoidance, interaction with environment, and grouping) while training. These combinations define multiple different profiles that can dynamically be defined during simulation time.