3 citations · 3 across the 1 of their papers we have counts for
3 papers
ResNetX: a more disordered and deeper network architecture
Wenfeng Feng, Xin Zhang, Guangpeng Zhao
Designing efficient network structures has always been the core content of neural network research. ResNet and its variants have proved to be efficient in architecture. However, ho…
Federated Deep Reinforcement Learning
Hankz Hankui Zhuo, Wenfeng Feng, Yufeng Lin +2
In deep reinforcement learning, building policies of high-quality is challenging when the feature space of states is small and the training data is limited. Despite the success of…
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
Extracting action sequences from natural language texts is challenging, as it requires commonsense inferences based on world knowledge. Although there has been work on extracting a…