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This paper presents a new communication interface for the DareFightingICEplatform, a Java-based fighting game focused on implementing AI for controllinga non-player character. The interface uses an open-source remote procedurecall, gRPC to improve the efficiency of data transfer between the game and theAI, reducing the time spent on receiving information from the game server. Thisis important because the main challenge of implementing AI in a fighting gameis the need for the AI to select an action to perform within a short responsetime. The DareFightingICE platform has been integrated with Py4J, allowingdevelopers to create AIs using Python. However, Py4J is less efficient athandling large amounts of data, resulting in excessive latency. In contrast,gRPC is well-suited for transmitting large amounts of data. To evaluate theeffectiveness of the new communication interface, we conducted an experimentcomparing the latency of gRPC and Py4J, using a rule-based AI that sends a kickcommand regardless of the information received from the game server. Theexperiment results showed not only a 65\% reduction in latency but alsoimproved stability and eliminated missed frames compared to the currentinterface.

Improving Data Transfer Efficiency for AIs in the DareFightingICE using gRPC