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What is Imitation Learning in Tetris AI about?

This paper develops an artificial player for the game Tetris using learning by imitation. The player is trained to imitate human players by mapping imitation tasks to a standard data classification problem solved with support vector machines. Experiments show the player can acquire diverse game behaviors from different human players and has a chance of defeating the previously best artificial Tetris player. The framework also allows incremental learning as the player can continue learning from stronger play

Author

panos p

Language

EN