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pro vyhledávání: '"Sridhar, Nikhil"'
Autor:
Wang, Boyang, Sridhar, Nikhil, Feng, Chao, Van der Merwe, Mark, Fishman, Adam, Fazeli, Nima, Park, Jeong Joon
We propose a robot learning method for communicating, planning, and executing a wide range of tasks, dubbed This&That. We achieve robot planning for general tasks by leveraging the power of video generative models trained on internet-scale data conta
Externí odkaz:
http://arxiv.org/abs/2407.05530
Autor:
Sridhar, Nikhil
Publikováno v:
Master's Theses.
Traditional Machine Learning (ML) methods usually rely on a central server to per-form ML tasks. However, these methods have problems like security risks, datastorage issues, and high computational demands. Federated Learning (FL), on theother hand,
