AI RESEARCH
IPR-1: Interactive Physical Reasoner
arXiv CS.LG
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ArXi:2511.15407v3 Announce Type: replace-cross Humans learn by observing, interacting with environments, and internalizing physics and causality. Here, we aim to ask whether an agent can similarly acquire human-like reasoning from interaction and keep improving with experience. To study this, we