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World models
World models are neural networks that learn an environment's dynamics, enabling agents to simulate and plan in latent space.
world-models

World models are neural networks that learn an internal representation of an environment's dynamics, enabling agents to simulate and plan within a learned latent space. They are used in model-based reinforcement learning, robotics, and autonomous decision-making.