1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space
Hai Lin, Cheng Huang, Zhihong Chen
Reinforcement learning tasks in real-world scenarios often involve large, high-dimensional action spaces, leading to challenges such as convergence difficulties, instability, and h…
cs.SD2024
AAT: Adapting Audio Transformer for Various Acoustics Recognition Tasks
Yun Liang, Hai Lin, Shaojian Qiu +1
Recently, Transformers have been introduced into the field of acoustics recognition. They are pre-trained on large-scale datasets using methods such as supervised learning and semi…
eess.SY2023
Structural Balance of Complex Weighted Graphs and Multi-partite Consensus
Honghui Wu, Ahmet Taha Koru, Guanxuan Wu +2
The structural balance of a signed graph is known to be necessary and sufficient to obtain a bipartite consensus among agents with friend-foe relationships. In the real world, rela…