Search Results - "Kreiman, Tobias"

Foundation Policies with Hilbert Representations by Park, Seohong, Kreiman, Tobias, Levine, Sergey

“…Unsupervised and self-supervised objectives, such as next token prediction, have enabled pre-training generalist models from large amounts of unlabeled data…”
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Octo: An Open-Source Generalist Robot Policy by Octo Model Team, Ghosh, Dibya, Walke, Homer, Pertsch, Karl, Black, Kevin, Mees, Oier, Dasari, Sudeep, Hejna, Joey, Kreiman, Tobias, Xu, Charles, Luo, Jianlan, Tan, You Liang, Chen, Lawrence Yunliang, Sanketi, Pannag, Vuong, Quan, Xiao, Ted, Sadigh, Dorsa, Finn, Chelsea, Levine, Sergey

“…Large policies pretrained on diverse robot datasets have the potential to transform robotic learning: instead of training new policies from scratch, such…”
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