A Virtual Reality Language Task Offloading Method Based on Deep Reinforcement Learning

A technology of virtual reality and reinforcement learning, applied in neural learning methods, services based on specific environments, communication between vehicles and infrastructure, etc., can solve the problems of limited energy consumption, difficult language communication simulation exercises, and a large number of virtual reality systems. Energy consumption and other issues to achieve the effect of solving energy constraints, improving convergence speed, and enhancing flexibility
CN110794965BActive Publication Date: 2021-06-04HUNAN NORMAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUNAN NORMAL UNIVERSITY
Publication Date
2021-06-04

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Abstract

The invention discloses a mobile virtual reality language communication simulation learning computing system and method. The invention constructs a mobile edge computing system with energy collection function, and then generates a task offloading decision of edge computing through a deep reinforcement learning method. The algorithm does not require any manually labeled training data, and learns from past task offloading experience, improving the task offloading action generated by DNN through reinforcement learning; by shrinking the local search method to improve the convergence speed of the algorithm, the trained DNN network can Real-time online and real-time task offloading decision-making; this method takes into account task offloading calculation and energy collection, and can solve the energy limitation problem of mobile terminals; this method uses mobile edge computing and cloud computing to solve virtual reality and augmented reality. The delay and energy consumption of large-scale computing in these emerging fields can enable users to realize simulated learning of virtual reality language communication in a mobile environment.
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Description

technical field

[0001] The invention belongs to the technical field of mobile virtual reality, and in particular relates to a virtual reality language task offloading method based on deep reinforcement learning. Background technique

[0002] With the rapid development of artificial intelligence computing, natural language processing has made breakthroughs in the research of computer human-computer interaction, but language learning is based on scenes and environments, and the emerging virtual reality technology can provide an immersive experience for language learning. The learning and interactive environment is a new hotspot in future language communication simulation learning.

[0003] However, virtual reality technology requires a large amount of image computing resources and extremely low communication delay, and often requires specialized virtual reality equipment and dedicated communication lines. Therefore, current virtual reality devices are dedicated virtual realit...

Claims

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