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Multiplayer Interactive World Models with Representation Autoencoders
We introduce the first multiplayer world model for highly dynamic environments governed by complex physical interactions. Whereas single player world models treat the other agents as part of the environment, ours conditions on the action streams of multiple agents, learning to attribute changes in the scene to the correct player and to stay coherent under arbitrary combinations of their actions. We study this prob...