Tianmeng Hu

11 papers A* 2Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning. AAAI Tianmeng Hu, Yongzheng Cui, Rui Tang, Biao Luo, Ke Li
2026	J	`jnl`	MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning. CoRR Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang
2026	J	`jnl`	PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning. CoRR Tianmeng Hu, Biao Luo
2026	J	`jnl`	RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion. CoRR Tianmeng Hu, Yongzheng Cui, Biao Luo, Ke Li
2025	J	`jnl`	Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning. CoRR Tianmeng Hu, Yongzheng Cui, Rui Tang, Biao Luo, Ke Li
2024	A*	`conf`	PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning. AAAI Tianmeng Hu, Biao Luo
2023	J	`jnl`	LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning. Neural Networks Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu
2023	J	`jnl`	MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang
2023	—	`conf`	Multi-vehicle Platoon Overtaking Using NoisyNet Multi-agent Deep Q-Learning Network. ICONIP (15) Lv He, Dongbo Zhang, Tianmeng Hu, Biao Luo
2021	—	`conf`	A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning. IEEE BigData Fei Zhou, Biao Luo, Tianmeng Hu, Zihan Chen, Yilin Wen
2021	J	`jnl`	Multi-objective optimization for autonomous driving strategy based on Deep Q Network. Discov. Artif. Intell. Tianmeng Hu, Biao Luo, Chunhua Yang