Network topology optimization via deep reinforcement learning Z Li, X Wang, L Pan, L Zhu, Z Wang, J Feng, C Deng, L Huang IEEE Transactions on Communications 71 (5), 2847-2859, 2023 | 19 | 2023 |
Beyond conservatism: Diffusion policies in offline multi-agent reinforcement learning Z Li, L Pan, L Huang arXiv preprint arXiv:2307.01472, 2023 | 11 | 2023 |
Online convex optimization with switching costs: Algorithms and performance Q Liu, Z Li, Z Fang 2022 20th International Symposium on Modeling and Optimization in Mobile, Ad …, 2022 | 7 | 2022 |
Beyond squared error: Exploring loss design for enhanced training of generative flow networks R Hu, Y Zhang, Z Li, L Huang arXiv preprint arXiv:2410.02596, 2024 | 1 | 2024 |
Offline learning-based multi-user delay-constrained scheduling Z Li, P Hu, L Huang 2024 IEEE 21st International Conference on Mobile Ad-Hoc and Smart Systems …, 2024 | 1 | 2024 |
Few is More: Task-Efficient Skill-Discovery for Multi-Task Offline Multi-Agent Reinforcement Learning X Wang, Z Li, H Zhong, L Huang arXiv preprint arXiv:2502.08985, 2025 | | 2025 |
Offline Critic-Guided Diffusion Policy for Multi-User Delay-Constrained Scheduling Z Li, R Chen, H Zhong, L Huang arXiv preprint arXiv:2501.12942, 2025 | | 2025 |
Smoothed Online Decision Making in Communication: Algorithms and Applications Q Liu, Z Li, Z Fang IEEE/ACM Transactions on Networking, 2024 | | 2024 |
Offline-to-Online Multi-Agent Reinforcement Learning with Offline Value Function Memory and Sequential Exploration H Zhong, X Wang, Z Li, L Huang arXiv preprint arXiv:2410.19450, 2024 | | 2024 |
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training P Hu, S Li, Z Li, L Pan, L Huang arXiv preprint arXiv:2409.19391, 2024 | | 2024 |