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While patiently accumulating an advantage may be a beneficial tactic against alpha-beta AIs who play tactically, MCTS-based AIs like AlphaGo may themselves play in this patient strategic manner. [2] Thus deliberately tactical play, which is a bad approach against alpha-beta, becomes a viable anti-computer tatctic against MCTS.
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KataGo is a free and open-source computer Go program, capable of defeating top-level human players. First released on 27 February 2019, it is developed by David Wu, [1] who also developed the Arimaa playing program bot_Sharp which defeated three top human players to win the Arimaa AI Challenge in 2015.
In the weeks leading up to the June 2015 Turkish general election, Kotaku noticed that players using names related to Turkish politics were prevalent and often cooperated against other political parties. [6] [25] An article in the journal Games and Culture argued that the feature was the main reason for Agar.io's success.
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[22] [23] [24] In comparison with other games that have used AI systems to play against human players, Dota 2 differs as explained below: [19] Long run view: The bots run at 30 frames per second for an average match time of 45 minutes, which results in 80,000 ticks per game. OpenAI Five observes every fourth frame, generating 20,000 moves.
If the human player is familiar with the optimal strategy, and MENACE can quickly learn it, then the games will eventually only end in draws. The likelihood of the computer winning increases quickly when the computer plays against a random-playing opponent. [3] When playing against a player using optimal strategy, the odds of a draw grow to 100%.
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