Crowdsourcing user information age management algorithm based on random game online learning
A user information and user technology, applied in the field of crowdsourcing and online learning, can solve the problems of wireless channel quality uncertainty, affecting user income, etc., and achieve the effect of improving expected income
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[0027] The present invention is mainly based on crowdsourcing user relationship stochastic game and online learning, and proposes a model system of crowdsourcing user relationship stochastic dynamic game and an approximate Nash equilibrium online learning algorithm. This method fully considers the information age of the user data packet, the interaction between the channel quality and the user's current and future long-term benefits, and obtains the optimal strategy through an adaptive iterative learning method. The strategy learned by the invention increases the user's expected revenue.
[0028] The method provided by the invention can use computer software technology to realize the process. see figure 1 , the embodiment takes 2 users as an example to carry out a specific elaboration on the flow process of the present invention, as follows:
[0029] Step 1, input the initial random exploration probability parameter θ 0 , discount coefficient γ, ∈-approximate parameter ∈ of...
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