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MIRA: Multiplayer Interactive World Model Trained on Rocket League Data

Researchers have introduced MIRA, a new multiplayer interactive world model trained on synthetic data from the game Rocket League. This 5-billion parameter model is capable of running for four players at 20 frames per second on a single B200 GPU. The project, a collaboration between General Intuition, Kyutai, and Epic Games, includes a playable online demo, a technical report, and a 1,000-hour dataset of four-player gameplay. AI

IMPACT This model's training on interactive, multi-agent gameplay could advance AI's ability to understand and predict complex dynamic environments.

RANK_REASON The cluster describes the release of a new model and associated research materials, fitting the research bucket. [lever_c_demoted from research: ic=1 ai=1.0]

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MIRA: Multiplayer Interactive World Model Trained on Rocket League Data

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/MasterScrat ·

    MIRA: Multiplayer Interactive World Models trained on Rocket League [R]

    <!-- SC_OFF --><div class="md"><p>We're happy to release MIRA, a collaboration between General Intuition, Kyutai, and Epic Games.</p> <p>Mira was trained on 10k hours of synthetic Rocket League data. The model has 5B parameters and runs for 4 players at 20 fps on a single B200.</…