The paper proposes factorizing Dreamer RSSM latent states into environment and teammate components with an auxiliary ToM head to enable adaptation to diverse collaborators in MARL.
Scalable multi-agent model-based reinforcement learning
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Dreaming Of Others: Latent Teammate Modeling In World Models For Multi-Agent Reinforcement Learning
The paper proposes factorizing Dreamer RSSM latent states into environment and teammate components with an auxiliary ToM head to enable adaptation to diverse collaborators in MARL.