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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.
This led to a renewed interest in researchers using deep neural networks to learn the policy, value, and/or Q functions present in existing reinforcement learning algorithms. Beginning around 2013, DeepMind showed impressive learning results using deep RL to play Atari video games.
In 2020, DeepMind published Agent57, [51] [52] an AI Agent which surpasses human level performance on all 57 games of the Atari 2600 suite. [53] In July 2022, DeepMind announced the development of DeepNash, a model-free multi-agent reinforcement learning system capable of playing the board game Stratego at the level of a human expert. [54]
His lectures on Reinforcement Learning are available on YouTube. [11] Silver consulted for Google DeepMind from its inception, joining full-time in 2013. His recent work has focused on combining reinforcement learning with deep learning , including a program that learns to play Atari games directly from pixels. [ 12 ]
e. AlphaZero is a computer program developed by artificial intelligence research company DeepMind to master the games of chess, shogi and go. This algorithm uses an approach similar to AlphaGo Zero. On December 5, 2017, the DeepMind team released a preprint paper introducing AlphaZero, [1] which within 24 hours of training achieved a superhuman ...
demishassabis.com. Sir Demis Hassabis CBE FRS FREng FRSA [4][5] (born 27 July 1976) is a British computer scientist, artificial intelligence researcher and entrepreneur. In his early career he was a video game AI programmer and designer, and an expert board games player. [6][7][8] He is the chief executive officer and co-founder of DeepMind [9 ...
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.
t. e. AlphaGo is a computer program that plays the board game Go. [1] It was developed by the London-based DeepMind Technologies, [2] an acquired subsidiary of Google. Subsequent versions of AlphaGo became increasingly powerful, including a version that competed under the name Master. [3] After retiring from competitive play, AlphaGo Master was ...