Optimizing Neural Network as Locomotion Controller With Motion Data

This paper proposes a novel method of optimizing locomotion controller for virtual characters, which is constructed with the deep neural network and learned with the assistance of existing motion data. The learning is accomplished with a progressive reward function by starting from a simple reward f...

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Bibliographic Details
Main Authors: Shihui Guo, Wenyi Jiang, Xing Gao, Meili Wang, Minghong Liao
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8356026/