Xiaotian Hao
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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
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
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
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
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
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
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
Independent generative adversarial self-imitation learning in cooperative multiagent systems
X Hao, W Wang, J Hao, Y Yang
arXiv preprint arXiv:1909.11468, 2019
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
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
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
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
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
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
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
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
Learning to collaborate by grouping: A consensus-oriented strategy for multi-agent reinforcement learning
J Ruan, X Hao, D Li, H Mao
ECAI 2023, 2010-2017, 2023
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
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
A hierarchical imitation learning-based decision framework for autonomous driving
H Liang, Z Dong, Y Ma, X Hao, Y Zheng, J Hao
Proceedings of the 32nd ACM International Conference on Information and …, 2023
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