3 citations · 6 across the 10 of their papers we have counts for
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cs.MA2023
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture
Xiaoxue Yu, Rongpeng Li, Chengchao Liang +1
Multi-Agent Reinforcement Learning (MARL) has emerged as a foundational approach for addressing diverse, intelligent control tasks in various scenarios like the Internet of Vehicle…
cs.IT2023
Alternate Learning based Sparse Semantic Communications for Visual Transmission
Siyu Tong, Xiaoxue Yu, Rongpeng Li +3
Semantic communication (SemCom) demonstrates strong superiority over conventional bit-level accurate transmission, by only attempting to recover the essential semantic information…
cs.MA2023
Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles
Xiaoxue Yu, Rongpeng Li, Fei Wang +4
Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm to solve diverse, intelligent control tasks like autonomous driving in Internet of Vehicles (IoV). However,…