2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CY2026
The Chancellor Trap: Administrative Mediation and the Hollowing of Sovereignty in the Algorithmic Age
Xuechen Niu
The contemporary governance discourse on Artificial Intelligence often emphasizes catastrophic loss-of-control scenarios. This article suggests that such framing may obscure a more…
cs.LG2024★ 2 cited
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning
Xuecheng Niu, Akinori Ito, Takashi Nose
Training task-oriented dialog agents based on reinforcement learning is time-consuming and requires a large number of interactions with real users. How to grasp dialog policy withi…