132 citations · 212 across the 7 of their papers we have counts for
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cs.LG2020★ 46 cited
Improving Generalization in Reinforcement Learning with Mixture Regularization
Kaixin Wang, Bingyi Kang, Jie Shao +1
Deep reinforcement learning (RL) agents trained in a limited set of environments tend to suffer overfitting and fail to generalize to unseen testing environments. To improve their…
cs.LG2020★ 24 cited
Understanding and Resolving Performance Degradation in Graph Convolutional Networks
Kuangqi Zhou, Yanfei Dong, Kaixin Wang +4
A Graph Convolutional Network (GCN) stacks several layers and in each layer performs a PROPagation operation (PROP) and a TRANsformation operation (TRAN) for learning node represen…