DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge
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Descrição
Deep neural networks are known to learn opaque, uninterpretable representations that lie beyond the grasp of human understanding. As such, from both scientific and practical viewpoints, it is intriguing to explore what is actually being learned and how in the case of superhuman self-taught neural network agents such as AlphaZero. In the new paper Acquisition
AlphaZero learns human concepts
DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge
Techmate: How AI rewrote the rules of chess
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
Acquisition of chess knowledge in AlphaZero
Acquisition of chess knowledge in AlphaZero
DeepMind's AlphaZero beats state-of-the-art chess and shogi game engines
DeepMind AI teaches itself chess from scratch in four hours, proceeds to beat previous champion
AlphaZero learns human concepts
Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost
The Rise of Chess AI: From Deep Blue to AlphaZero
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Acquisition of Chess Knowledge in AlphaZero
How AlphaZero Learns Chess
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