AINeutralarXiv – CS AI · 7h ago6/10
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Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning
Researchers propose a novel architecture for multi-agent reinforcement learning that models teammates as learnable components within a world model, using a Theory-of-Mind head to infer partner behavior and enable zero-shot coordination. This approach extends Dreamer-style models beyond single-agent settings by factorizing latent states into environment and teammate representations, potentially advancing cooperative AI systems.