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Phy-Q: A Testbed for Physical Reasoning. (arXiv:2108.13696v2 [cs.AI] UPDATED)
May 19, 2022, 1:12 a.m. | Cheng Xue, Vimukthini Pinto, Chathura Gamage, Ekaterina Nikonova, Peng Zhang, Jochen Renz
cs.LG updates on arXiv.org arxiv.org
Humans are well-versed in reasoning about the behaviors of physical objects
and choosing actions accordingly to accomplish tasks, while it remains a major
challenge for AI. To facilitate research addressing this problem, we propose a
new testbed that requires an agent to reason about physical scenarios and take
an action appropriately. Inspired by the physical knowledge acquired in infancy
and the capabilities required for robots to operate in real-world environments,
we identify 15 essential physical scenarios. For each scenario, we …
More from arxiv.org / cs.LG updates on arXiv.org
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