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Nov 19, 2019 · In this work we present the MuZero algorithm which, by combining a tree-based search with a learned model, achieves superhuman performance in a ...
Dec 23, 2020 · Here we present the MuZero algorithm, which, by combining a tree-based search with a learned model, achieves superhuman performance in a range ...
Feb 21, 2020 · When evaluated on Go, chess and shogi, without any knowledge of the game rules, MuZero matched the superhuman performance of the AlphaZero.
Nov 19, 2019 · This paper studies the performance of MuZero, a state-of-the-art model-based reinforcement learning algorithm with strong connections and overlapping ...
Mar 28, 2021 · Become The AI Epiphany Patreon ❤️ ▻ https://www.patreon.com/theaiepiphany ▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭▭ MuZero - the latest agent in the lineage ...
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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. from deepmind.google
Dec 23, 2020 · MuZero masters Go, chess, shogi and Atari without needing to be told the rules, thanks to its ability to plan winning strategies in unknown environments.
MuZero. Introduced by Schrittwieser et al. in Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model.
Nov 20, 2019 · Beating AlphaZero at Go, Chess, and Shogi, an mastering a suite of Atari video games that other AIs have failed to do efficiently.
Nov 20, 2019 · The method is superior because it outperforms Alpha Zero. But the network calculation is observable state -> 256x16 -> hidden state -> 256x16 -> (policy, value ...
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. from www.andrew-silva.com
Dec 23, 2020 · This work introduces MuZero, which permits the extension of AlphaZero-like learning and performance to a new set of RL domains.