Allen Institute for AI Researchers Propose PROCTHOR: A Machine Learning Framework for Procedural Generation of Embodied AI Environments

Using large-scale training data, computer vision, and natural language processing models have strengthened. Recent models like CLIP, DALL-E, GPT-3, and Flamingo leverage vast quantities of task-agnostic data to pre-train large neural networks that perform amazingly well. In comparison, the Embodied AI research community mainly trains agents in simulators with significantly fewer situations. Due to the […]

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