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Linjie Xu
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Generating diverse and competitive play-styles for strategy games
D Perez-Liebana, C Guerrero-Romero, A Dockhorn, L Xu, J Hurtado, ...
2021 IEEE Conference on Games (CoG), 1-8, 2021
152021
Portfolio search and optimization for general strategy game-playing
A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana
2021 IEEE Congress on Evolutionary Computation (CEC), 2085-2092, 2021
82021
Game state and action abstracting monte carlo tree search for general strategy game-playing
A Dockhorn, J Hurtado-Grueso, D Jeurissen, L Xu, D Perez-Liebana
2021 IEEE Conference on Games (CoG), 1-8, 2021
72021
Deep multi-task augmented feature learning via hierarchical graph neural network
P Guo, C Deng, L Xu, X Huang, Y Zhang
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
72021
Elastic monte carlo tree search with state abstraction for strategy game playing
L Xu, J Hurtado-Grueso, D Jeurissen, DP Liebana, A Dockhorn
2022 IEEE Conference on Games (CoG), 369-376, 2022
52022
A hierarchical approach for marlö challenge
L Xu, Y Chen
2019 IEEE Conference on Games (CoG), 1-4, 2019
22019
Towards applicable state abstractions: a preview in strategy games
L Xu, D Perez-Liebana, A Dockhorn
The Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2022
12022
Higher Replay Ratio Empowers Sample-Efficient Multi-Agent Reinforcement Learning
L Xu, Z Liu, A Dockhorn, D Perez-Liebana, J Wang, L Song, J Bian
arXiv preprint arXiv:2404.09715, 2024
2024
Relabeling Minimal Training Subset to Flip a Prediction
J Yang, L Xu, L Yu
Findings of the Association for Computational Linguistics: EACL 2024, 1085-1098, 2024
2024
Mildly Constrained Evaluation Policy for Offline Reinforcement Learning
L Xu, Z Jiang, J Wang, L Song, J Bian
arXiv preprint arXiv:2306.03680, 2023
2023
Elastic Monte Carlo Tree Search
L Xu, A Dockhorn, D Perez-Liebana
IEEE Transactions on Games, 2023
2023
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Articles 1–11