Tag: atari

MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

I'm excited to finally share some more details on what we've been working on since AlphaZero.

Recently, we made our latest paper - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model, aka MuZero - available on arXiv:

Constructing agents with planning capabilities has long been one of the main challenges in the pursuit of artificial intelligence. Tree-based planning methods have enjoyed huge success in challenging domains, such as chess and Go, where a perfect simulator is available. However, in real-world problems the dynamics governing the environment are often complex and unknown. In this work we present the MuZero …

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