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Artificial intelligence and machine learning techniques are used in video games for a wide variety of applications such as non-player character (NPC) control and procedural content generation (PCG). Machine learning is a subset of artificial intelligence that uses historical data to build predictive and analytical models.
Artificial intelligence has been an integral part of video games since their inception in 1948, first seen in the game Nim. [1] AI in video games is a distinct subfield and differs from academic AI. It serves to improve the game-player experience rather than machine learning or decision making.
General video game playing (GVGP) is the concept of GGP adjusted to the purpose of playing video games. For video games, game rules have to be either learnt over multiple iterations by artificial players like TD-Gammon, [5] or are predefined manually in a domain-specific language and sent in advance to artificial players [6] [7] like
AlphaStar is an artificial intelligence (AI) software developed by DeepMind for playing the video game StarCraft II.It was unveiled to the public by name in January 2019. AlphaStar attained "Grandmaster" status in August 2019, a significant milestone not just for AI in video games, but arguably for the field as a wh
In video games, a bot or drone is a type of artificial intelligence (AI)–based expert system software that plays a video game in the place of a human. Bots are used in a variety of video game genres for a variety of tasks: a bot written for a first-person shooter (FPS) works differently from one written for a massively multiplayer online role-playing game (MMORPG).
DLSS uses machine learning to combine samples in the current frame and past frames, and it can be thought of as an advanced and superior TAA implementation made possible by the available tensor cores. [14] Nvidia also offers deep learning anti-aliasing (DLAA). DLAA provides the same AI-driven anti-aliasing DLSS uses, but without any upscaling ...
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