AI Learns to Play Soccer (and breaks physics)
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Two AI agents named Albert and Kai learn to play soccer through reinforcement learning, starting with basic 1v1 matches and progressing to complex 11v11 team play. The training uses curriculum learning, beginning with large nets and simple rules before advancing to more challenging scenarios. Albert consistently outperforms Kai throughout the training process, eventually winning the competition. The experiment demonstrates how AI can learn complex behaviors through trial and error, including team coordination, defensive strategies, and even exploiting game physics bugs.
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