AlphaZero

AlphaZero learns board games by playing against itself many times.

What it does

AlphaZero learns board games by playing against itself many times.

Self-Play: Practicing with yourself • Grandmaster: Top-tier player

How it works

  • Start without human game examples.
  • Play games against itself.
  • Keep the strategies that win more often.

Uses and applications

  • It can learn games like chess or Go.
  • Researchers use it to study planning and strategy.
  • Game designers can study strong computer play.

In short

AlphaZero improves through self-play.

Related methods

Back to Reinforcement learning, agents and planning · All topics

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