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Hangtian Jia
Hangtian Jia
Netease
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Title
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Cited by
Year
Hierarchical deep multiagent reinforcement learning with temporal abstraction
H Tang, J Hao, T Lv, Y Chen, Z Zhang, H Jia, C Ren, Y Zheng, Z Meng, ...
arXiv preprint arXiv:1809.09332, 2018
352018
Learning to utilize shaping rewards: A new approach of reward shaping
Y Hu, W Wang, H Jia, Y Wang, Y Chen, J Hao, F Wu, C Fan
Advances in Neural Information Processing Systems 33, 15931-15941, 2020
242020
Unifying behavioral and response diversity for open-ended learning in zero-sum games
X Liu, H Jia, Y Wen, Y Yang, Y Hu, Y Chen, C Fan, Z Hu
arXiv preprint arXiv:2106.04958, 2021
72021
Mastering basketball with deep reinforcement learning: An integrated curriculum training approach
H Jia, C Ren, Y Hu, Y Chen, T Lv, C Fan, H Tang, J Hao
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
42020
Fever basketball: A complex, flexible, and asynchronized sports game environment for multi-agent reinforcement learning
H Jia, Y Hu, Y Chen, C Ren, T Lv, C Fan, C Zhang
arXiv preprint arXiv:2012.03204, 2020
22020
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
X Liu, H Jia, Y Wen, Y Hu, Y Chen, C Fan, Z Hu, Y Yang
Advances in Neural Information Processing Systems 34, 941-952, 2021
12021
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