| From few to more: Large-scale dynamic multiagent curriculum learning W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7293-7300, 2020 | 99 | 2020 |
| A hierarchical reinforcement learning based optimization framework for large-scale dynamic pickup and delivery problems Y Ma*, X Hao*, J Hao, J Lu, X Liu, T Xialiang, M Yuan, Z Li, J Tang, ... Advances in Neural Information Processing Systems 34, 23609-23620, 2021 | 51 | 2021 |
| Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. Y Yang, J Hao, Y Zheng, C Yu IJCAI, 630-636, 2019 | 33 | 2019 |
| Action semantics network: Considering the effects of actions in multiagent systems W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao arXiv preprint arXiv:1907.11461, 2019 | 31 | 2019 |
| Combining sequence and network information to enhance protein–protein interaction prediction L Liu, X Zhu, Y Ma, H Piao, Y Yang, X Hao, Y Fu, L Wang, J Peng BMC bioinformatics 21, 1-13, 2020 | 29 | 2020 |
| Independent generative adversarial self-imitation learning in cooperative multiagent systems X Hao, W Wang, J Hao, Y Yang arXiv preprint arXiv:1909.11468, 2019 | 24 | 2019 |
| Pmic: Improving multi-agent reinforcement learning with progressive mutual information collaboration P Li, H Tang, T Yang, X Hao, T Sang, Y Zheng, J Hao, ME Taylor, W Tao, ... arXiv preprint arXiv:2203.08553, 2022 | 22 | 2022 |
| Seihai: A sample-efficient hierarchical ai for the minerl competition H Mao*, C Wang*, X Hao*, Y Mao*, Y Lu*, C Wu*, J Hao, D Li, P Tang Distributed Artificial Intelligence: Third International Conference, DAI …, 2022 | 20 | 2022 |
| Dynamic knapsack optimization towards efficient multi-channel sequential advertising X Hao, Z Peng, Y Ma, G Wang, J Jin, J Hao, S Chen, R Bai, M Xie, M Xu, ... International Conference on Machine Learning, 4060-4070, 2020 | 19 | 2020 |
| Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks X Hao, H Mao, W Wang, Y Yang, D Li, Y Zheng, Z Wang, HAO Jianye The Eleventh International Conference on Learning Representations, 2022 | 15* | 2022 |
| Learning adaptive display exposure for real-time advertising W Wang, J Jin, J Hao, C Chen, C Yu, W Zhang, J Wang, X Hao, Y Wang, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
| Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020 WH Guss, S Milani, N Topin, B Houghton, S Mohanty, A Melnik, A Harter, ... NeurIPS 2020 Competition and Demonstration Track, 233-252, 2021 | 10 | 2021 |
| Efficient multiagent policy optimization based on weighted estimators in stochastic cooperative environments Y Zheng, JY Hao, ZZ Zhang, ZP Meng, XT Hao Journal of Computer Science and Technology 35, 268-280, 2020 | 10 | 2020 |
| Integrating sequence and network information to enhance protein-protein interaction prediction using graph convolutional networks L Liu, Y Ma, X Zhu, Y Yang, X Hao, L Wang, J Peng 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 10 | 2019 |
| Large scale deep reinforcement learning in war-games H Wang, H Tang, J Hao, X Hao, Y Fu, Y Ma 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 9 | 2020 |
| Transformer-based working memory for multiagent reinforcement learning with action parsing Y Yang, G Chen, W Wang, X Hao, J Hao, PA Heng Advances in Neural Information Processing Systems 35, 34874-34886, 2022 | 7 | 2022 |
| Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning J Ruan, X Hao, D Li, H Mao arXiv preprint arXiv:2307.15530, 2023 | 4 | 2023 |
| Breaking the curse of dimensionality in multiagent state space: A unified agent permutation framework X Hao, H Mao, W Wang, Y Yang, D Li, Y Zheng, Z Wang, J Hao arXiv preprint arXiv:2203.05285, 2022 | 4 | 2022 |
| Portal: Automatic curricula generation for multiagent reinforcement learning J Wu, J Hao, T Yang, X Hao, Y Zheng, W Wang, ME Taylor Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15934 …, 2024 | 2 | 2024 |
| ASN: action semantics network for multiagent reinforcement learning T Yang, W Wang, J Hao, ME Taylor, Y Liu, X Hao, Y Hu, Y Chen, C Fan, ... Autonomous Agents and Multi-Agent Systems 37 (2), 45, 2023 | 1 | 2023 |
