Tianye Shu

According to our database, Tianye Shu authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Ke Shang, Tianye Shu, Hisao Ishibuchi

IEEE Trans. Evol. Comput., February, 2024

2023

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

Chengpeng Hu, Ziqi Wang, Tianye Shu, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu

IEEE Trans. Games, June, 2023

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

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

Inf. Sci., April, 2023

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

Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

IEEE Trans. Evol. Comput., 2023

Normalization in R2-Based Hypervolume and Hypervolume Contribution Approximation.

Guotong Wu, Tianye Shu, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Ensemble R2-based Hypervolume Contribution Approximation.

Guotong Wu, Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

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

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Empirical Hypervolume Optimal µ-Distributions on Complex Pareto Fronts.

Ke Shang, Tianye Shu, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem.

Yang Nan, Tianye Shu, Hisao Ishibuchi

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets.

Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems.

Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems.

Yang Nan, Tianye Shu, Hisao Ishibuchi

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

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

Ziqi Wang, Tianye Shu, Jialin Liu

CoRR, 2022

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

Tianye Shu, Ke Shang, Hisao Ishibuchi, Yang Nan

CoRR, 2022

Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization.

Ke Shang, Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang

CoRR, 2022

Direction Vector Selection for R2-Based Hypervolume Contribution Approximation.

Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

2021

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study.

Tianye Shu, Jialin Liu, Georgios N. Yannakakis

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Robust Reinforcement Learning for General Video Game Playing.

Chengpeng Hu, Ziqi Wang, Tianye Shu, Yang Tao, Hao Tong, Julian Togelius, Xin Yao, Jialin Liu

CoRR, 2020

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

Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao

Proceedings of the IEEE Congress on Evolutionary Computation, 2020