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MuZero (MZ) is a combination of the high-performance planning of the AlphaZero (AZ) algorithm with approaches to model-free reinforcement learning. The combination allows for more efficient training in classical planning regimes, such as Go, while also handling domains with much more complex inputs at each stage, such as visual video games.
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 in ...
In 100 shogi games against Elmo (World Computer Shogi Championship 27 summer 2017 tournament version with YaneuraOu 4.73 search), AlphaZero won 90 times, lost 8 times and drew twice. [11] As in the chess games, each program got one minute per move, and Elmo was given 64 threads and a hash size of 1 GB. [2]
According to Vedal, a separate AI model controls her in-game actions when she plays video games. [8] In a 2023 interview with Bloomberg News, he said that Neuro-sama was his full-time job. [9] The first iteration of Neuro-sama was created in May 2019 as a neural network trained to play the rhythm game osu!. [10]
Self-play is used by the AlphaZero program to improve its performance in the games of chess, shogi and go. [2] Self-play is also used to train the Cicero AI system to outperform humans at the game of Diplomacy. The technique is also used in training the DeepNash system to play the game Stratego. [3] [4]
Lucy Guo is already a self-made millionaire who can put the cofounding of a bona fide unicorn, the $7 billion–valued Scale AI, on her resume.Now the 29-year-old entrepreneur has talked ...
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