Breakthrough Deep Reinforcement Learning Software Trains Computer Characters to Realistically Move
Anyone that has worked with animation software, knows what a challenge it is to make characters move naturally. Michiel van de Panne, a University of British Columbia (UBC) computer science professor has created a new software called DeepLoco, which offers a simpler fashion to animate human motion in games and film. Instead of the current method of character motion capture which makes use of animators or actors and motion capture cameras, the DeepLoco algorithm utilizes a type of cutting-edge machine learning algorithm called deep reinforcement learning. The DeepLoco software which Profesor van de Panne will present at SIGGRAPH 2017, learns by experience through...
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