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Scaling Instructable Agents Across Many Simulated Worlds
April 17, 2024, 4:42 a.m. | SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sa
cs.LG updates on arXiv.org arxiv.org
Abstract: Building embodied AI systems that can follow arbitrary language instructions in any 3D environment is a key challenge for creating general AI. Accomplishing this goal requires learning to ground language in perception and embodied actions, in order to accomplish complex tasks. The Scalable, Instructable, Multiworld Agent (SIMA) project tackles this by training agents to follow free-form instructions across a diverse range of virtual 3D environments, including curated research environments as well as open-ended, commercial video …
abstract agent agents ai systems arxiv building challenge cs.ai cs.hc cs.lg cs.ro embodied embodied ai environment general general ai key language perception project scalable scaling sima systems tasks type
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