Zobrazeno 1 - 10
of 272
pro vyhledávání: '"Wan, Le"'
Autor:
Guo, Yiyang, Li, Ruizhe, Hui, Mude, Guo, Hanzhong, Zhang, Chen, Cai, Chuangjian, Wan, Le, Wang, Shangfei
Invisible watermarking is essential for safeguarding digital content, enabling copyright protection and content authentication. However, existing watermarking methods fall short in robustness against regeneration attacks. In this paper, we propose a
Externí odkaz:
http://arxiv.org/abs/2410.20824
Offline reinforcement learning (RL) has attracted much attention due to its ability in learning from static offline datasets and eliminating the need of interacting with the environment. Nevertheless, the success of offline RL relies heavily on the o
Externí odkaz:
http://arxiv.org/abs/2402.03807
Recently, there are many efforts attempting to learn useful policies for continuous control in visual reinforcement learning (RL). In this scenario, it is important to learn a generalizable policy, as the testing environment may differ from the train
Externí odkaz:
http://arxiv.org/abs/2402.02701
Sample efficiency is one of the most critical issues for online reinforcement learning (RL). Existing methods achieve higher sample efficiency by adopting model-based methods, Q-ensemble, or better exploration mechanisms. We, instead, propose to trai
Externí odkaz:
http://arxiv.org/abs/2305.18443
Equipped with the trained environmental dynamics, model-based offline reinforcement learning (RL) algorithms can often successfully learn good policies from fixed-sized datasets, even some datasets with poor quality. Unfortunately, however, it can no
Externí odkaz:
http://arxiv.org/abs/2304.04660
We present state advantage weighting for offline reinforcement learning (RL). In contrast to action advantage $A(s,a)$ that we commonly adopt in QSA learning, we leverage state advantage $A(s,s^\prime)$ and QSS learning for offline RL, hence decoupli
Externí odkaz:
http://arxiv.org/abs/2210.04251
Autor:
Wan, Le, Jin, Wei, Kusky, Timothy, Tian, Yang, Wang, Jing, Ke, Xianzhong, Long, Wenguo, Yang, Jie, Sun, Xiangmin, Chen, Chao
Publikováno v:
In LITHOS October 2024 482-483
Autor:
Yang, Huihui, Wei, Qianglong, Wu, Jiayin, Tang, Zijue, Wan, Le, Wu, Yi, Lu, Guojie, Wang, Hongze, Wang, Haowei
Publikováno v:
In Optics and Laser Technology August 2024 175
Autor:
Wan, Le, Tang, Zijue, Yang, Huihui, Sun, Hua, Wei, Qianglong, Wu, Yi, Wang, Haowei, Wang, Hongze
Publikováno v:
In Optics and Laser Technology July 2024 174
Publikováno v:
In Information Sciences May 2024 666