playing-games-9

Game of Shogi

3260 papers • 126 benchmarks • 313 datasets

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opendilab/LightZero

2 papers 996

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Most implemented papers

Mastering Atari, Go, chess and shogi by planning with a learned model

K. Simonyan, Julian Schrittwieser, T. Hubert, D. Hassabis, L. Sifre, David Silver, T. Lillicrap, A. Guez, Ioannis Antonoglou, T. Graepel, Edward Lockhart, Simon Schmitt•Mon Nov 18 2019

The MuZero algorithm is presented, which, by combining a tree-based search with a learned model, achieves superhuman performance in a range of challenging and visually complex domains, without any knowledge of their underlying dynamics.

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Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

K. Simonyan, Julian Schrittwieser, T. Hubert, D. Hassabis, L. Sifre, David Silver, T. Lillicrap, A. Guez, Ioannis Antonoglou, D. Kumaran, Marc Lanctot, T. Graepel, Matthew Lai•Mon Dec 04 2017

This paper generalises the approach into a single AlphaZero algorithm that can achieve, tabula rasa, superhuman performance in many challenging domains, and convincingly defeated a world-champion program in each case.

2005 0

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