32 citations · 45 across the 5 of their papers we have counts for
5 papers
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
Hui Bai, Ruimin Shen, Yue Lin +2
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive par…
Diverse Behavior Is What Game AI Needs: Generating Varied Human-Like Playing Styles Using Evolutionary Multi-Objective Deep Reinforcement Learning
Ruimin Shen, Yan Zheng, Jianye Hao +2
this paper has been withdrawn
Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination
Fei Jiang, Xiao-Yang Liu, Hongtao Lu +1
Sparse coding (SC) is an automatic feature extraction and selection technique that is widely used in unsupervised learning. However, conventional SC vectorizes the input images, wh…
Graph Regularized Tensor Sparse Coding for Image Representation
Fei Jiang, Xiao-Yang Liu, Hongtao Lu +1
Sparse coding (SC) is an unsupervised learning scheme that has received an increasing amount of interests in recent years. However, conventional SC vectorizes the input images, whi…
Sparse Group Restricted Boltzmann Machines
Heng Luo, Ruimin Shen, Cahngyong Niu
Since learning is typically very slow in Boltzmann machines, there is a need to restrict connections within hidden layers. However, the resulting states of hidden units exhibit sta…