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e5b5c402bb7bd5e60bede6961d6fe39e-Paper-Conference.pdf

proceedings.iclr.cc · 11,774 words · saved by 1 readers

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# link_z4frblfe2f.pdf ## Metadata - PDFFormatVersion=1.5 - IsLinearized=true - IsAcroFormPresent=false - IsXFAPresent=false - IsCollectionPresent=false - IsSignaturesPresent=false - CreationDate=D:20250228070053Z - Creator=LaTeX with hyperref - ModDate=D:20250228070053Z - Custom.PTEX.Fullbanner=This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) kpathsea version 6.3.5 - Producer=pdfTeX-1.40.25 - Trapped=False ## Contents ### Page 1 Published as a conference paper at ICLR 2025PREDICTIVE INVERSE DYNAMICS MODELS ARE SCAL-ABLE LEARNERS FOR ROBOTIC MANIPULATIONYang Tian1,4,∗ Sizhe Ya

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