Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Bhorkar, A. A."'
Autor:
Yang, Jonathan, Glossop, Catherine, Bhorkar, Arjun, Shah, Dhruv, Vuong, Quan, Finn, Chelsea, Sadigh, Dorsa, Levine, Sergey
Recent years in robotics and imitation learning have shown remarkable progress in training large-scale foundation models by leveraging data across a multitude of embodiments. The success of such policies might lead us to wonder: just how diverse can
Externí odkaz:
http://arxiv.org/abs/2402.19432
We present a system that enables an autonomous small-scale RC car to drive aggressively from visual observations using reinforcement learning (RL). Our system, FastRLAP (faster lap), trains autonomously in the real world, without human interventions,
Externí odkaz:
http://arxiv.org/abs/2304.09831
Reinforcement learning can enable robots to navigate to distant goals while optimizing user-specified reward functions, including preferences for following lanes, staying on paved paths, or avoiding freshly mowed grass. However, online learning from
Externí odkaz:
http://arxiv.org/abs/2212.08244
Learning provides a powerful tool for vision-based navigation, but the capabilities of learning-based policies are constrained by limited training data. If we could combine data from all available sources, including multiple kinds of robots, we could
Externí odkaz:
http://arxiv.org/abs/2210.03370
Autor:
Crawford, Ashleigh J., Gomez-Cruz, Clara, Russo, Gabriella C., Huang, Wilson, Bhorkar, Isha, Roy, Triya, Muñoz-Barrutia, Arrate, Wirtz, Denis, Garcia-Gonzalez, Daniel
Publikováno v:
In Acta Biomaterialia February 2024 175:170-185
Autor:
Shalini Bhorkar
Publikováno v:
ECNU Review of Education, Vol 7 (2024)
Purpose The relationship between private tutoring (PT) and mainstream education is among the complex themes characterizing PT discourses in the literature. This study examined the complications of practices and processes in tutoring and schooling to
Externí odkaz:
https://doaj.org/article/ff5637d970b04cbd8662f2d8fcb04aec
Autor:
Syrrokostas, G., Bhorkar, K., Sygellou, L., Dracopoulos, V., Leftheriotis, G., Yannopoulos, S.N.
Publikováno v:
In Materials Chemistry and Physics 1 September 2023 305
Accurate real-time forecasting of key performance indicators (KPIs) is an essential requirement for various LTE/5G radio access network (RAN) automation. However, an accurate prediction can be very challenging in large-scale cellular environments due
Externí odkaz:
http://arxiv.org/abs/2001.01553
Publikováno v:
In Materials Today: Proceedings November 2023
Akademický článek
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