3 citations · 6 across the 10 of their papers we have counts for
4 papers · 1 filter
Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
Xiaoxue Yu, Rongpeng Li, Zhifeng Zhao +1
The evolution of next-Generation (xG) wireless networks marks a paradigm shift from connectivity-centric architectures to Artificial Intelligence (AI)-native designs that tightly i…
Robust Event-Triggered Integrated Communication and Control with Graph Information Bottleneck Optimization
Ziqiong Wang, Xiaoxue Yu, Rongpeng Li +1
Integrated communication and control serves as a critical ingredient in Multi-Agent Reinforcement Learning. However, partial observability limitations will impair collaboration eff…
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…
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,…