Operation information prediction method, model training method and related device

A technology for manipulating information and combining models, applied in neural learning methods, biological neural network models, sports accessories, etc.

Active Publication Date: 2019-06-18
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, for MOBA games, the cooperation between multiple people not only needs to be reflected in the micro-operation of objects, but also the cooperation and interaction between different objects is very important in p

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  • Operation information prediction method, model training method and related device
  • Operation information prediction method, model training method and related device
  • Operation information prediction method, model training method and related device

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Embodiment Construction

[0103] The embodiment of the present application provides a method for predicting operation information, a method for model training, and related devices. The target joint model is used to first predict the overall view operation information of the role set, and then obtain the micro-operation of the role set based on the overall view operation information prediction. Information can be obtained at the same time at the two levels of cooperation capabilities of micro-operations and overall-view operations, thereby strengthening the predictive ability of the model, thereby improving the rationality of information prediction.

[0104] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances...

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Abstract

The invention discloses an operation information prediction method. The operation information prediction method comprises the following steps: acquiring image data to be predicted; determining N characters to be predicted in a first character set according to image data to be predicted; acquiring a feature set to be predicted of each role to be predicted in the image data to be predicted; and acquiring first operation information corresponding to each role to be predicted through a target joint model, wherein the target joint model is used for generating second operation information accordingto the feature set to be predicted, the target joint model is also used for generating first operation information according to the second operation information, the first operation information represents information related to operation contents, and the second operation information represents information related to the operation intention. The invention also discloses a model training method anda related device. According to the invention, the cooperative capability of the micro-operation level and the macro-operation level can be obtained simultaneously by utilizing the target joint model,so that the prediction capability of the model is enhanced, and the rationality of information prediction is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, and in particular to a method for predicting operation information, a method for model training, and related devices. Background technique [0002] Artificial intelligence (AI) programs are already beating top professionals at board games with well-defined rules. In contrast, the operations of multiplayer online battle arena (MOBA) games are more complex and closer to real-world scenarios. Overcoming AI problems in MOBA games will help us explore and solve complex problems in the real world. [0003] At present, for multi-person cooperation in MOBA games, multi-agent reinforcement learning methods are usually used to learn cooperation through self-play. see figure 1 , figure 1 It is a schematic diagram of a model structure of multi-agent reinforcement learning in the existing scheme. As shown in the figure, the input of the model is attribute information (such as her...

Claims

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Application Information

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IPC IPC(8): A63F13/79G06N3/04G06N3/08
Inventor 李宏亮杜雪莹屈鹏李思琴梁静王亮
Owner TENCENT TECH (SHENZHEN) CO LTD
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