A Steering Algorithm for Redirected Walking Using Reinforcement Learning

Redirected Walking (RDW) steering algorithms have traditionally relied on human-engineered logic. However, recent advances in reinforcement learning (RL) have produced systems that surpass human performance on a variety of control tasks. This paper investigates the potential of using RL to develop a...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics Jg. 26; H. 5; S. 1955 - 1963
Hauptverfasser:	Strauss, Ryan R., Ramanujan, Raghuram, Becker, Andrew, Peck, Tabitha C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Computer Graphics Computer simulation Control tasks Deep Learning Heuristic algorithms Human performance Humans Learning (artificial intelligence) Legged locomotion Locomotion Machine learning Meters Prediction algorithms Redirected Walking Reinforcement Learning Space exploration Steering Steering Algorithms Tracking Video Games Virtual environments Virtual Reality Walking Walking - physiology
ISSN:	1077-2626, 1941-0506, 1941-0506
Online-Zugang:	Volltext
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