Tianmeng Hu

According to our database, Tianmeng Hu authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning.

Tianmeng Hu, Biao Luo

CoRR, March, 2026

RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion.

Tianmeng Hu, Yongzheng Cui, Biao Luo, Ke Li

CoRR, February, 2026

Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning.

Tianmeng Hu, Yongzheng Cui, Rui Tang, Biao Luo, Ke Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2024

PA2D-MORL: Pareto Ascent Directional Decomposition Based Multi-Objective Reinforcement Learning.

Tianmeng Hu, Biao Luo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning.

Tianmeng Hu, Biao Luo, Chunhua Yang, Tingwen Huang

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

LJIR: Learning Joint-Action Intrinsic Reward in cooperative multi-agent reinforcement learning.

Zihan Chen, Biao Luo, Tianmeng Hu, Xiaodong Xu

Neural Networks, October, 2023

Multi-vehicle Platoon Overtaking Using NoisyNet Multi-agent Deep Q-Learning Network.

Lv He, Dongbo Zhang, Tianmeng Hu, Biao Luo

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2021

Multi-objective optimization for autonomous driving strategy based on Deep Q Network.

Tianmeng Hu, Biao Luo, Chunhua Yang

Discov. Artif. Intell., 2021

A Combinatorial Recommendation System Framework Based on Deep Reinforcement Learning.

Fei Zhou, Biao Luo, Tianmeng Hu, Zihan Chen, Yilin Wen

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021