Overview of the use of machine learning in several video games
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. This is in sharp contrast to traditional methods of artificial intelligence such as search trees and expert systems.
Information on machine learning techniques in the field of games is mostly known to public through research projects as most gaming companies choose not to publish specific information about their intellectual property. The most publicly known application of machine learning in games is likely the use of deep learning agents that compete with professional human players in complex strategy games. There has been a significant application of machine learning on games such as Atari/ALE, Doom, Minecraft, StarCraft, and car racing.[1] Other games that did not originally exists as video games, such as chess and Go have also been affected by the machine learning.[2]
^Justesen, Niels; Bontrager, Philip; Togelius, Julian; Risi, Sebastian (2019). "Deep Learning for Video Game Playing". IEEE Transactions on Games. 12: 1–20. arXiv:1708.07902. doi:10.1109/tg.2019.2896986. ISSN 2475-1502. S2CID 37941741.
^Silver, David; Hubert, Thomas; Schrittwieser, Julian; Antonoglou, Ioannis; Lai, Matthew; Guez, Arthur; Lanctot, Marc; Sifre, Laurent; Kumaran, Dharshan (2018-12-06). "A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play" (PDF). Science. 362 (6419): 1140–1144. Bibcode:2018Sci...362.1140S. doi:10.1126/science.aar6404. ISSN 0036-8075. PMID 30523106. S2CID 54457125.
and 26 Related for: Machine learning in video games information
Machinelearning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn...
rather than machinelearning or decision making. During the golden age of arcade videogames the idea of AI opponents was largely popularized in the form...
page is a timeline of machinelearning. Major discoveries, achievements, milestones and other major events inmachinelearning are included. History of...
Deep reinforcement learning (deep RL) is a subfield of machinelearning that combines reinforcement learning (RL) and deep learning. RL considers the problem...
report a dire need for better protecting machinelearning systems in industrial applications. Most machinelearning techniques are mostly designed to work...
videogames, console games, and computer (PC) games; the latter also encompasses LAN games, online games, and browser games. More recently, the video...
event or culture, or assist them inlearning a skill as they play. Game types include board, card, and videogames. As educators, governments, and parents...
gamification of learning is an educational approach that seeks to motivate students by using video game design and game elements inlearning environments...
1995 saw many sequels and prequels invideogames, such as Dragon Quest VI, Mega Man 7, Super Mario World 2: Yoshi's Island, Donkey Kong Country 2: Diddy's...
Simulation videogames are a diverse super-category of videogames, generally designed to closely simulate real world activities. A simulation game attempts...
Inmachinelearning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent to human preferences. In classical...
learning (RL) is an interdisciplinary area of machinelearning and optimal control concerned with how an intelligent agent ought to take actions in a...
"The Rise of Cutscenes". A Mind Forever Voyaging: A History of Storytelling inVideoGames. Dylan Holmes. p. 83. ISBN 978-1-4800-0575-4. Learning curve...
electronics to create an interactive system with which a player can play. Videogames are the most common form today, and for this reason the two terms are...
the release of numerous videogames as well as the launch of the PlayStation 2. Critically acclaimed games originally released in 2000 include sequels such...
non-human animals, and some machines; there is also evidence for some kind of learningin certain plants. Some learning is immediate, induced by a single...
page is a list of television programs based on videogames, technically both computer and console games based on. Series like The Witcher and its spinoff...
videogames, pinball machines, electro-mechanical games, redemption games or merchandisers. Broadly, arcade games are nearly always considered games of...
Videogames are a major industry in Japan, and the country is considered one of the most influential invideo gaming. Japanese game development is often...
Deep learning is the subset of machinelearning methods based on neural networks with representation learning. The adjective "deep" refers to the use of...
Invideogames, 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....
1993 saw many sequels and prequels invideogames, such as Dragon Ball Z: Super Butōden, Mortal Kombat II, Secret of Mana, and Super Street Fighter II...
Artificial intelligence invideogames Domain-specific entertainment language Game Description Language Multi-task learning Outline of artificial intelligence...
racing videogames. The first of the genre were released in the mid-late 1970s. Formula One videogames V8 Supercars invideogames Racing video game Sim...
Global Information