Search Results - Tianye Shu

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  1. 1
    Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation

    Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation by Shang, Ke, Shu, Tianye, Ishibuchi, Hisao

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  2. 2
    Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization

    Effects of Archive Size on Computation Time and Solution Quality for Multiobjective Optimization by Shu, Tianye, Shang, Ke, Ishibuchi, Hisao, Nan, Yang

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  3. 3
    State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning

    State-Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning by Wang, Ziqi, Shu, Tianye, Liu, Jialin

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  4. 4
    Reinforcement Learning With Dual-Observation for General Video Game Playing

    Reinforcement Learning With Dual-Observation for General Video Game Playing by Hu, Chengpeng, Wang, Ziqi, Shu, Tianye, Tong, Hao, Togelius, Julian, Yao, Xin, Liu, Jialin

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  5. 5
    Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation

    Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation by Wu, Guotong, Shu, Tianye, Shang, Ke, Ishibuchi, Hisao

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  6. 6
    Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization

    Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization by Shu, Tianye, Shang, Ke, Ishibuchi, Hisao, Nan, Yang

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  7. 7
    Benchmarking large-scale subset selection in evolutionary multi-objective optimization

    Benchmarking large-scale subset selection in evolutionary multi-objective optimization by Shang, Ke, Shu, Tianye, Ishibuchi, Hisao, Nan, Yang, Pang, Lie Meng

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  8. 8
    Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets

    Analysis of Partition Methods for Dominated Solution Removal from Large Solution Sets by Shu, Tianye, Nan, Yang, Shang, Ke, Ishibuchi, Hisao

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  9. 9
    Ensemble R2-based Hypervolume Contribution Approximation

    Ensemble R2-based Hypervolume Contribution Approximation by Wu, Guotong, Shu, Tianye, Nan, Yang, Shang, Ke, Ishibuchi, Hisao

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  10. 10
    Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts

    Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts by Shang, Ke, Shu, Tianye, Wu, Guotong, Nan, Yang, Pang, Lie Meng, Ishibuchi, Hisao

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  11. 11
    Reinforcement Learning with Dual-Observation for General Video Game Playing

    Reinforcement Learning with Dual-Observation for General Video Game Playing by Hu, Chengpeng, Wang, Ziqi, Tianye Shu, Tong, Hao, Togelius, Julian, Yao, Xin, Liu, Jialin

    Published in arXiv.org
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  12. 12
    Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization

    Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization by Shang, Ke, Tianye Shu, Ishibuchi, Hisao, Yang, Nan, Lie Meng Pang

    Published in arXiv.org
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  13. 13
    Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study

    Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study by Shu, Tianye, Liu, Jialin, Yannakakis, Georgios N.

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  14. 14
    State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning

    State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning by Wang, Ziqi, Tianye Shu, Liu, Jialin

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  15. 15
    Learning Pareto Set for Multi-Objective Continuous Robot Control

    Learning Pareto Set for Multi-Objective Continuous Robot Control by Tianye Shu, Shang, Ke, Gong, Cheng, Yang, Nan, Ishibuchi, Hisao

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  16. 16
    Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation

    Learning to Approximate: Auto Direction Vector Set Generation for Hypervolume Contribution Approximation by Shang, Ke, Tianye Shu, Ishibuchi, Hisao

    Published in arXiv.org
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  17. 17
    Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study

    Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study by Tianye Shu, Liu, Jialin, Yannakakis, Georgios N

    Published in arXiv.org
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  18. 18
    Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization

    Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization by Tianye Shu, Shang, Ke, Ishibuchi, Hisao, Yang, Nan

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  19. 19
    A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros

    A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros by Tianye Shu, Wang, Ziqi, Liu, Jialin, Yao, Xin

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  20. 20
    A Contrast-Enhanced Computed Tomography Based Radiomics Approach for Preoperative Differentiation of Pancreatic Cystic Neoplasm Subtypes: A Feasibility Study

    A Contrast-Enhanced Computed Tomography Based Radiomics Approach for Preoperative Differentiation of Pancreatic Cystic Neoplasm Subtypes: A Feasibility Study by Shen, Xiaoyong, Yang, Fan, Yang, Pengfei, Yang, Modan, Xu, Lei, Zhuo, Jianyong, Wang, Jianguo, Lu, Di, Liu, Zhikun, Zheng, Shu-Sen, Niu, Tianye, Xu, Xiao

    Published in Frontiers in oncology
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