MIRA: AI World Model Trained on Rocket League for Multiplayer Interaction

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Researchers have developed MIRA, a multiplayer interactive world model trained using gameplay data from the popular vehicular soccer game Rocket League. The project explores how AI systems can learn to simulate and predict complex, real-time multiplayer environments. MIRA represents an attempt to build interactive world models capable of handling multiple simultaneous agents. Details about the research and methodology are available on the official MIRA project blog. The work was shared on Hacker News, drawing attention from the AI and gaming research communities.

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