4 citations · 6 across the 7 of their papers we have counts for
8 papers
Agentic Router: An Execution-Grounded Continual Learning Approach With Memory
Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +3
Large language model (LLM) agents provide a promising interface for command-line-based network operations, but a plausible command may still fail or introduce operational risk afte…
Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services
Renxuan Tan, Rongpeng Li, Xiaoxue Yu +3
Federated learning (FL) in multi-service provider (SP) ecosystems is fundamentally hampered by non-cooperative dynamics, where privacy constraints and competing interests preclude…
Multi-agent Uncertainty-Aware Pessimistic Model-Based Reinforcement Learning for Connected Autonomous Vehicles
Ruoqi Wen, Rongpeng Li, Xing Xu +1
Deep Reinforcement Learning (DRL) holds significant promise for achieving human-like Autonomous Vehicle (AV) capabilities, but suffers from low sample efficiency and challenges in…
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning
Xing Xu, Rongpeng Li, Zhifeng Zhao +1
The paper considers independent reinforcement learning (IRL) for multi-agent decision-making process in the paradigm of federated learning (FL). We show that FL can clearly improve…
The Gradient Convergence Bound of Federated Multi-Agent Reinforcement Learning with Efficient Communication
Xing Xu, Rongpeng Li, Zhifeng Zhao +1
The paper considers independent reinforcement learning (IRL) for multi-agent collaborative decision-making in the paradigm of federated learning (FL). However, FL generates excessi…
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration
Xing Xu, Rongpeng Li, Zhifeng Zhao +1
With the rapid evolution of wireless mobile devices, there emerges an increased need to design effective collaboration mechanisms between intelligent agents, so as to gradually app…
Internet of Intelligence: The Collective Advantage for Advancing Communications and Intelligence
Rongpeng Li, Zhifeng Zhao, Xing Xu +2
The fifth-generation cellular networks (5G) has boosted the unprecedented convergence between the information world and physical world. On the other hand, empowered with the enormo…
Brain-Inspired Stigmergy Learning
Xing Hsu, Zhifeng Zhao, Rongpeng Li +1
Stigmergy has proved its great superiority in terms of distributed control, robustness and adaptability, thus being regarded as an ideal solution for large-scale swarm control prob…