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What is self play in game learning?

  • A.A program replaying recorded games from human masters
  • B.A program playing both sides of a position to evaluate it
  • C.A program improving by playing repeatedly against itself
  • D.A program playing against a fixed reference opponent

Answer: C

Self play generates unlimited training data at exactly the level the program has reached, so the opponent improves as the program does and no human games are required. Combined with tree search and a learned evaluation it produced superhuman play in several games. Fixed opponents, human game databases and two sided analysis are different arrangements. A training signal that scales with the system's own ability removes the dependence on an external curriculum entirely.

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