Move over AlphaGo: AlphaZero taught itself to play three different games
Por um escritor misterioso
Last updated 04 abril 2025

DeepMind's new AI is worthy successor to the first program to beat a human at Go.

dThe 3 Tricks That Made AlphaGo Zero Work, by Seth Weidman, HackerNoon.com

Alphazero :: Computer-bridge1

Why Artificial Intelligence Like AlphaZero Has Trouble With the Real World

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Frontiers AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

AlphaGo taught itself how to win, but without humans it would have run out of time, Google
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Google's New AI Is a Master of Games, but How Does It Compare to the Human Mind?, Innovation

Reinforcement learning explained

The future is here – AlphaZero learns chess

DeepMind's AI beats world's best Go player in latest face-off

DeepMind's New AI Teaches Itself Chess, Beats Grandmaster

MuZero: The Walkthrough (Part 1/3), by David Foster, Applied Data Science

DeepMind's AlphaZero algorithm taught itself to play Go, chess, and shogi with superhuman performance and then beat state-of-the-art programs specializing in each game. The ability of AlphaZero to adapt to various game
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