Context-aware Communication for Multi-agent Reinforcement Learning X Li, J Zhang AAMAS 2024, 2024 | 6 | 2024 |
AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning X Wang*, X Li*, J Shao, J Zhang AAMAS 2023, 2023 | 6 | 2023 |
SWIPT-enabled cellular-connected UAV: Energy harvesting and data transmission X Li, X Zhou, S Durrani 2022 IEEE International Conference on Communications Workshops (ICC …, 2022 | 1 | 2022 |
Learn How to Query from Unlabeled Data Streams in Federated Learning Y Sun, X Li, T Lin, J Zhang AAAI 2025, 2024 | | 2024 |
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning X Li, L Pan, J Zhang NeurIPS 2024, 2024 | | 2024 |
A Federated Online Restless Bandit Framework for Cooperative Resource Allocation J Tong, X Li, L Fu, J Zhang, KB Letaief IEEE Transactions on Mobile Computing, 2024 | | 2024 |
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning X Li, Z Liu, S Chen, J Zhang ICML 2024, 2024 | | 2024 |