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Tianmeng Hu

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2024
[c3]
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  - conf/aaai/HuL24
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Tianmeng Hu, Biao Luo:
PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning. AAAI 2024: 12547-12555
2023
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  - journals/nn/ChenLHX23
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Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu:
LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning. Neural Networks 167: 450-459 (2023)
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Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang:
MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12098-12112 (2023)
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Lv He, Dongbo Zhang, Tianmeng Hu, Biao Luo:
Multi-vehicle Platoon Overtaking Using NoisyNet Multi-agent Deep Q-Learning Network. ICONIP (15) 2023: 495-509
2021
[j1]
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  - journals/dai/HuL021
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Tianmeng Hu, Biao Luo, Chunhua Yang:
Multi-objective optimization for autonomous driving strategy based on Deep Q Network. Discov. Artif. Intell. 1(1) (2021)
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  - conf/bigdataconf/ZhouLHCW21
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Fei Zhou, Biao Luo, Tianmeng Hu, Zihan Chen, Yilin Wen:
A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning. IEEE BigData 2021: 5733-5740

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