Zobrazeno 1 - 10
of 2 456
pro vyhledávání: '"Huang, Weidong"'
Autor:
Ji, Jiaming, Zhang, Borong, Zhou, Jiayi, Pan, Xuehai, Huang, Weidong, Sun, Ruiyang, Geng, Yiran, Zhong, Yifan, Dai, Juntao, Yang, Yaodong
Artificial intelligence (AI) systems possess significant potential to drive societal progress. However, their deployment often faces obstacles due to substantial safety concerns. Safe reinforcement learning (SafeRL) emerges as a solution to optimize
Externí odkaz:
http://arxiv.org/abs/2310.12567
The deployment of Reinforcement Learning (RL) in real-world applications is constrained by its failure to satisfy safety criteria. Existing Safe Reinforcement Learning (SafeRL) methods, which rely on cost functions to enforce safety, often fail to ac
Externí odkaz:
http://arxiv.org/abs/2307.07176
Autor:
Ji, Jiaming, Zhou, Jiayi, Zhang, Borong, Dai, Juntao, Pan, Xuehai, Sun, Ruiyang, Huang, Weidong, Geng, Yiran, Liu, Mickel, Yang, Yaodong
AI systems empowered by reinforcement learning (RL) algorithms harbor the immense potential to catalyze societal advancement, yet their deployment is often impeded by significant safety concerns. Particularly in safety-critical applications, research
Externí odkaz:
http://arxiv.org/abs/2305.09304
Publikováno v:
In Materials Characterization October 2024 216
Publikováno v:
In Construction and Building Materials 13 September 2024 443
Publikováno v:
In Construction and Building Materials 6 September 2024 442
Publikováno v:
In Advanced Powder Technology September 2024 35(9)
Publikováno v:
In Journal of Materials Research and Technology September-October 2024 32:2951-2962
Publikováno v:
In Food Chemistry 15 August 2024 449