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Sim2Real (Simulation to Reality) techniques have gained prominence in robotic manipulation and motion planning due to their ability to enhance success rates by enabling agents to test and evaluate various policies and trajectories. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2309.09017
Simulation-to-real is the task of training and developing machine learning models and deploying them in real settings with minimal additional training. This approach is becoming increasingly popular in fields such as robotics. However, there is often
Externí odkaz:
http://arxiv.org/abs/2307.07862
Autor:
Chen, Chia-Chun, Tran, Wendy, Song, Kai, Sugimoto, Tyler, Obusan, Matthew B., Wang, Liang, Sheu, Katherine M., Cheng, Donghui, Ta, Lisa, Varuzhanyan, Grigor, Huang, Arthur, Xu, Runzhe, Zeng, Yuanhong, Borujerdpur, Amirreza, Bayley, Nicholas A., Noguchi, Miyako, Mao, Zhiyuan, Morrissey, Colm, Corey, Eva, Nelson, Peter S., Zhao, Yue, Huang, Jiaoti, Park, Jung Wook, Witte, Owen N., Graeber, Thomas G.
Publikováno v:
In Cancer Cell 11 December 2023 41(12):2066-2082
Akademický článek
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