Self-play

Self-play is a training technique used primarily in artificial intelligence and machine learning, particularly in the development of algorithms for games and strategic decision-making. In self-play, an AI system plays against itself instead of competing against human opponents or other external agents. This approach allows the AI to explore a wide range of strategies and scenarios without the need for external data.