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pro vyhledávání: '"D'Alonzo, Marissa"'
Autor:
Acharya, Aastha, Lee, Caleb, D'Alonzo, Marissa, Shamwell, Jared, Ahmed, Nisar R., Russell, Rebecca
Deep learning offers promising new ways to accurately model aleatoric uncertainty in robotic estimation systems, particularly when the uncertainty distributions do not conform to traditional assumptions of being fixed and Gaussian. In this study, we
Externí odkaz:
http://arxiv.org/abs/2405.20513
Autor:
D'Alonzo, Marissa, Russell, Rebecca
Knowledge of the symmetries of reinforcement learning (RL) systems can be used to create compressed and semantically meaningful representations of a low-level state space. We present a method of automatically detecting RL symmetries directly from raw
Externí odkaz:
http://arxiv.org/abs/2211.16381
Autor:
D'Alonzo, Marissa1,2 mdalonzo@draper.com, Bozkurt, Alican2,3, Alessi-Fox, Christi4, Gill, Melissa5,6,7, Brooks, Dana H.2, Rajadhyaksha, Milind8, Kose, Kivanc8, Dy, Jennifer G.2
Publikováno v:
Scientific Reports. 2/11/2021, Vol. 11 Issue 1, p1-13. 13p.
