| MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning T Hu, B Luo, C Yang, T Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (10 …, 2023 | 30 | 2023 |
| LJIR: Learning joint-action intrinsic reward in cooperative multi-agent reinforcement learning Z Chen, B Luo, T Hu, X Xu Neural Networks 167, 450-459, 2023 | 11 | 2023 |
| Multi-objective optimization for autonomous driving strategy based on Deep Q Network T Hu, B Luo, C Yang Discover Artificial Intelligence 1 (1), 11, 2021 | 8 | 2021 |
| A combinatorial recommendation system framework based on deep reinforcement learning F Zhou, B Luo, T Hu, Z Chen, Y Wen 2021 IEEE International Conference on Big Data (Big Data), 5733-5740, 2021 | 7 | 2021 |
| PA2D-MORL: Pareto ascent directional decomposition based multi-objective reinforcement learning T Hu, B Luo Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12547 …, 2024 | 2 | 2024 |
| Multi-vehicle platoon overtaking using NoisyNet multi-agent deep Q-learning network L He, D Zhang, T Hu, B Luo International Conference on Neural Information Processing, 495-509, 2023 | 1 | 2023 |
| Discover Artificial Intelligence LB Cui, CZ Zhu, R Hare, Y Tang Discover 3, 10, 2023 | | 2023 |
| CocoRNA: Collective RNA Design with Cooperative Multi-agent Reinforcement Learning T Hu, B Luo, K Li | | |