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


Dec 06, 2022
Ziqi Wang, Tianye Shu, Jialin Liu

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On Representing Mixed-Integer Linear Programs by Graph Neural Networks


Oct 19, 2022
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin

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On Representing Linear Programs by Graph Neural Networks


Sep 25, 2022
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin

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Online Game Level Generation from Music


Jul 12, 2022
Ziqi Wang, Jialin Liu

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Generating Game Levels of Diverse Behaviour Engagement


Jul 05, 2022
Keyuan Zhang, Jiayu Bai, Jialin Liu

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Hyperparameter Tuning is All You Need for LISTA


Oct 29, 2021
Xiaohan Chen, Jialin Liu, Zhangyang Wang, Wotao Yin

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* Accepted at NeurIPS 2021 

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Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection


Oct 11, 2021
HanQin Cai, Jialin Liu, Wotao Yin

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* NeurIPS 2021 

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Keiki: Towards Realistic Danmaku Generation via Sequential GANs


Jul 07, 2021
Ziqi Wang, Jialin Liu, Georgios N. Yannakakis

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* This paper is accepted by the 2021 IEEE Conference on Games 

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


Jul 05, 2021
Tianye Shu, Jialin Liu, Georgios N. Yannakakis

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* This paper is accepted by the 2021 IEEE Conference on Games 

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Learning to Optimize: A Primer and A Benchmark


Mar 23, 2021
Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin

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