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20182026
most citedA Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

14 citations · 59 across the 28 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 1 cited

Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN

Gengshi Han, Shunyu Liu, Kaixuan Chen +3

Although deep learning has achieved impressive advances in transient stability assessment of power systems, the insufficient and imbalanced samples still trap the training effect o…

cs.LG2021

Distribution Knowledge Embedding for Graph Pooling

Kaixuan Chen, Jie Song, Shunyu Liu +4

Graph-level representation learning is the pivotal step for downstream tasks that operate on the whole graph. The most common approach to this problem heretofore is graph pooling,…