Zobrazeno 1 - 10
of 545
pro vyhledávání: '"Panju A"'
Autor:
Li, Sicen, Pang, Yiming, Bai, Panju, Liu, Zhaojin, Li, Jiawei, Hu, Shihao, Wang, Liquan, Wang, Gang
Agile and adaptive maneuvers such as fall recovery, high-speed turning, and sprinting in the wild are challenging for legged systems. We propose a Curricular Hindsight Reinforcement Learning (CHRL) that learns an end-to-end tracking controller that a
Externí odkaz:
http://arxiv.org/abs/2310.15583
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Agile and adaptive maneuvers such as fall recovery, high-speed turning, and sprinting in the wild are challenging for legged systems. We propose a Curricular Hindsight Reinforcement Learning (CHRL) that learns an end-to-end tracking controll
Externí odkaz:
https://doaj.org/article/407b336ec0934579bc92ab42d47ff410
Autor:
Kim, Panju, Kim, Minjin, Kim, Ga-Eun, Lee, Eunyoung, Moon, Byung Joon, Park, Yong Il, Lee, Sang Hyun
Publikováno v:
In Surfaces and Interfaces November 2024 54
Autor:
Elisa Genovesi, Yuan Ishtar Yao, Emily Mitchell, Michal Arad, Victoria Diamant, Areej Panju, Charlotte Hanlon, Bethlehem Tekola, Rosa A. Hoekstra
Publikováno v:
International Journal of Mental Health Systems, Vol 18, Iss 1, Pp 1-24 (2024)
Abstract Most children with developmental disabilities (DD), such as intellectual disabilities and autism, live in low- and middle-income countries (LMICs), where services are usually limited. Various governmental, non-governmental and research organ
Externí odkaz:
https://doaj.org/article/be2116c0693a4d758f61cc7146fbda57
Multiuser, Multiple Input, Single Output (MU-MISO) systems are proving to be indispensable in the next generation wireless networks such as 5G and 6G. The spatial diversity of MISO systems have been leveraged in physical layer designs in these wirele
Externí odkaz:
http://arxiv.org/abs/2111.06352
Autor:
Kang, Jian, Xia, Xiujia, Shang, Rong'an, Wang, Xiaoming, Cao, Panju, Wang, Junfeng, Zhang, Jie, Feng, Wanli, Wei, Jianmin, Hu, Qiaolong
Publikováno v:
In World Neurosurgery May 2024 185:e1160-e1168
Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. Due to the richness of the space of mathematical expressions, symbolic regression is generally a challenging proble
Externí odkaz:
http://arxiv.org/abs/2106.14131
We describe a neural-based method for generating exact or approximate solutions to differential equations in the form of mathematical expressions. Unlike other neural methods, our system returns symbolic expressions that can be interpreted directly.
Externí odkaz:
http://arxiv.org/abs/2011.06673
Autor:
Panju, Maysum, Ghodsi, Ali
When neural networks are used to solve differential equations, they usually produce solutions in the form of black-box functions that are not directly mathematically interpretable. We introduce a method for generating symbolic expressions to solve di
Externí odkaz:
http://arxiv.org/abs/2011.02415
We present a novel Auxiliary Truth enhanced Genetic Algorithm (GA) that uses logical or mathematical constraints as a means of data augmentation as well as to compute loss (in conjunction with the traditional MSE), with the aim of increasing both dat
Externí odkaz:
http://arxiv.org/abs/2010.11328