<ul><li>Researchers at arXiv have introduced the Cosmos-Reason1 models for Physical AI reasoning.</li><li>These models aim to understand the physical world and generate appropriate embodied decisions, such as next step actions.</li><li>The models leverage a hierarchical ontology to represent physical common sense and a two-dimensional ontology for embodied reasoning.</li><li>Evaluation results demonstrate that Physical AI supervised fine-tuning and reinforcement learning lead to significant improvements.</li></ul>

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

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