Qatten: A general framework for cooperative multiagent reinforcement learning Y Yang, J Hao, B Liao, K Shao, G Chen, W Liu, H Tang
arXiv preprint arXiv:2002.03939, 2020
231 2020 Exploration in deep reinforcement learning: a comprehensive survey T Yang, H Tang, C Bai, J Liu, J Hao, Z Meng, P Liu, Z Wang
arXiv e-prints, arXiv: 2109.06668, 2021
134 2021 Exploration in deep reinforcement learning: From single-agent to multiagent domain J Hao, T Yang, H Tang, C Bai, J Liu, Z Meng, P Liu, Z Wang
IEEE Transactions on Neural Networks and Learning Systems, 2023
128 2023 Deep multi-agent reinforcement learning with discrete-continuous hybrid action spaces H Fu, H Tang, J Hao, Z Lei, Y Chen, C Fan
arXiv preprint arXiv:1903.04959, 2019
84 2019 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
81 2018 Q-value path decomposition for deep multiagent reinforcement learning Y Yang, J Hao, G Chen, H Tang, Y Chen, Y Hu, C Fan, Z Wei
International conference on machine learning, 10706-10715, 2020
67 2020 Hyar: Addressing discrete-continuous action reinforcement learning via hybrid action representation B Li, H Tang, Y Zheng, J Hao, P Li, Z Wang, Z Meng, L Wang
arXiv preprint arXiv:2109.05490, 2021
59 2021 Towards effective context for meta-reinforcement learning: an approach based on contrastive learning H Fu, H Tang, J Hao, C Chen, X Feng, D Li, W Liu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7457-7465, 2021
52 2021 Kogun: accelerating deep reinforcement learning via integrating human suboptimal knowledge P Zhang, J Hao, W Wang, H Tang, Y Ma, Y Duan, Y Zheng
arXiv preprint arXiv:2002.07418, 2020
40 2020 An efficient transfer learning framework for multiagent reinforcement learning T Yang, W Wang, H Tang, J Hao, Z Meng, H Mao, D Li, W Liu, Y Chen, ...
Advances in neural information processing systems 34, 17037-17048, 2021
36 2021 ERL-Re J Hao, P Li, H Tang, Y Zheng, X Fu, Z Meng
arXiv preprint arXiv:2210.17375, 2022
31 2022 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
31 2022 What about inputting policy in value function: Policy representation and policy-extended value function approximator H Tang, Z Meng, J Hao, C Chen, D Graves, D Li, C Yu, H Mao, W Liu, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8441-8449, 2022
24 2022 Addressing action oscillations through learning policy inertia C Chen, H Tang, J Hao, W Liu, Z Meng
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7020-7027, 2021
21 2021 Race: improve multi-agent reinforcement learning with representation asymmetry and collaborative evolution P Li, J Hao, H Tang, Y Zheng, X Fu
International Conference on Machine Learning, 19490-19503, 2023
18 2023 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
13 2020 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
13 2020 Bridging evolutionary algorithms and reinforcement learning: A comprehensive survey on hybrid algorithms P Li, J Hao, H Tang, X Fu, Y Zhen, K Tang
IEEE Transactions on Evolutionary Computation, 2024
11 2024 A real-time ensemble classification algorithm for time series data X Zhu, S Zhao, Y Yang, H Tang, Z Wang, J Hao
2017 IEEE International Conference on Agents (ICA), 145-150, 2017
11 2017 Pandr: Fast adaptation to new environments from offline experiences via decoupling policy and environment representations T Sang, H Tang, Y Ma, J Hao, Y Zheng, Z Meng, B Li, Z Wang
arXiv preprint arXiv:2204.02877, 2022
8 2022 
Jianye HaoHuawei Noah's Ark Lab/Tianjin UniversityПідтверджена електронна адреса в tju.edu.cn
