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¿µ¹®Ç¥Áظí Game AI agent Generation Guidelines based on Simulation Environment
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¿µ¹®³»¿ë¿ä¾à Recently, interest in artificial intelligence agent generation technology using machine learning is increasing, and in particular, research is being actively conducted in various fields related to the 4th industrial revolution. However, since there are many limitations such as cost and time in progressing learning in the real world, the trend of using simulators is also increasing.
Similarly, the game is relatively easy to collect information from the environment and can appropriately adjust the reward according to the agent's actions, so it is highly utilized as a simulator for solving complex problems in the real world.
However, in the case of recent games, since various scenarios and functions are required to be implemented to improve user satisfaction, the complexity of the game itself is also increasing day by day. Therefore, game developers are struggling to make investments for AI agent development due to limited resource conditions such as time, cost, and manpower.
Therefore, this standard solves these problems and provide requirements for generating artificial intelligence game agents based on simulated environments that can be used universally in heterogeneous environments and various game genres, and shows the possibility of utilization and expansion through representative use cases.
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