| 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 | 17 | 2021 |
| Protecting your llms with information bottleneck Z Liu, Z Wang, L Xu, J Wang, L Song, T Wang, C Chen, W Cheng, J Bian Advances in Neural Information Processing Systems 37, 29723-29753, 2024 | 15 | 2024 |
| 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 | 11 | 2021 |
| 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 | 10 | 2021 |
| 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 | 9 | 2022 |
| 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 | 9 | 2021 |
| Elastic monte carlo tree search L Xu, A Dockhorn, D Perez-Liebana IEEE Transactions on Games 15 (4), 527-537, 2023 | 4 | 2023 |
| 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 IEEE Conference On Games, 2024 | 3 | 2024 |
| A hierarchical approach for marlö challenge L Xu, Y Chen 2019 IEEE Conference on Games (CoG), 1-4, 2019 | 2 | 2019 |
| Enhancing Cross-domain Pre-Trained Decision Transformers with Adaptive Attention W Zhao, Q Xu, L Xu, L Song, J Wang, C Zhou, J Bian arXiv preprint arXiv:2409.06985, 2024 | 1 | 2024 |
| Mildly Constrained Evaluation Policy for Offline Reinforcement Learning L Xu, Z Jiang, J Wang, L Song, J Bian Transactions on Machine Learning Research, 2024 | 1 | 2024 |
| Relabeling Minimal Training Subset to Flip a Prediction J Yang, L Xu, L Yu Findings of EACL 2024, 2023 | 1 | 2023 |
| Towards applicable state abstractions: A preview in strategy games L Xu, D Perez-Liebana, A Dockhorn Proc. Multi-Disciplinary Conf. Reinforcement Learn. Decis. Making (RLDM), 1-7, 2022 | 1 | 2022 |
| C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front R Liu, Y Pan, L Xu, L Song, P You, Y Chen, J Bian arXiv preprint arXiv:2410.02236, 2024 | | 2024 |
| Strategy Game-Playing with Size-Constrained State Abstraction L Xu, D Perez-Liebana, A Dockhorn 2024 IEEE Conference on Games (CoG), 1-8, 2024 | | 2024 |
Alexander DockhornLeibniz University HannoverVerified email at tnt.uni-hannover.de
