Zobrazeno 1 - 10
of 15 043
pro vyhledávání: '"Wei Fang"'
Sparse Mixture-of-Experts (SMoE) models represent a significant breakthrough in large language model development. These models enable performance improvements without a proportional increase in inference costs. By selectively activating a small set o
Externí odkaz:
http://arxiv.org/abs/2410.08589
Autor:
Wei, Fang-Stars
This note study the soft behavior of Yang-Mills (YM) and bi-adjoint scalar (BAS) amplitudes at tree level, by using transmutation operators proposed by Cheung, Shen and Wen. By acting such transmutation operators to gravity amplitudes in the soft lim
Externí odkaz:
http://arxiv.org/abs/2407.16429
Autor:
Wei, Fang-Stars, Zhou, Kang
The well known soft theorems state the specific factorizations of tree level gravitational (GR) amplitudes at leading, sub-leading and sub-sub-leading orders, with universal soft factors. For Yang-Mills (YM) amplitudes, similar factorizations and uni
Externí odkaz:
http://arxiv.org/abs/2406.04622
Existing Maximum-Entropy (MaxEnt) Reinforcement Learning (RL) methods for continuous action spaces are typically formulated based on actor-critic frameworks and optimized through alternating steps of policy evaluation and policy improvement. In the p
Externí odkaz:
http://arxiv.org/abs/2405.13629
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Shen, Mu-Yi, Hsu, Chia-Chi, Hou, Hao-Yu, Huang, Yu-Chen, Sun, Wei-Fang, Chang, Chia-Che, Liu, Yu-Lun, Lee, Chun-Yi
In this study, we introduce the DriveEnv-NeRF framework, which leverages Neural Radiance Fields (NeRF) to enable the validation and faithful forecasting of the efficacy of autonomous driving agents in a targeted real-world scene. Standard simulator-b
Externí odkaz:
http://arxiv.org/abs/2403.15791
In this paper, we focus on single-demonstration imitation learning (IL), a practical approach for real-world applications where acquiring multiple expert demonstrations is costly or infeasible and the ground truth reward function is not available. In
Externí odkaz:
http://arxiv.org/abs/2402.01057
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Background Cutaneous malignant melanoma is a very aggressive and metastatic form of skin cancer, typically linked with poor outcomes. Advances in genomic analysis have underscored the crucial role of T cells in tumor immunity. Immune checkpo
Externí odkaz:
https://doaj.org/article/516c48cfffdd43a4843ee3baf6e4e692