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|Session Name:||Reinforcement Learning Based Character Locomotion in Hitman: Absolution|
|Company Name(s):||IO Interactive / Square Enix|
|Track / Format:||Programming|
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|Overview:||Character locomotion systems usually consist of manually crafted blend-trees and large chunks of gameplay code in order to drive and micro-manage them. In this session, we'll talk about the novel approach that we took to create the crowd characters in Hitman: Absolution. This talk will cover how we arranged animation clips in an appropriate data-structure, the controller strategies we used to derive the animation clip selection from high-level AI goals, and how the system can be used in path following scenarios. We will touch on the challenges that we faced during the development of the system.|