Rocket League

First multiplayer world model for dynamic environments using latent diffusion on Rocket League gameplay

Researchers introduce the first multiplayer world model capable of conditioning on action streams from multiple agents simultaneously, trained on 10,000 hours of Rocket League gameplay. The 5-billion-parameter latent diffusion model generates four-player matches in real time at 20 FPS on a single Nvidia B200 GPU, with rollouts remaining stable far beyond the training horizon (tested to five minutes, observed for hours). The paper systematically investigates codec design, generative objectives, and multiplayer conditioning, and releases the dataset, codebase, and a live demo. The work advances world model research by addressing multi-agent attribution and coherence under complex physical dynamics.