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View article: Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs
Multi-Task Multi-Agent Reinforcement Learning via Skill Graphs Open
Multi-task multi-agent reinforcement learning (MT-MARL) has recently gained attention for its potential to enhance MARL's adaptability across multiple tasks. However, it is challenging for existing multi-task learning methods to handle com…
View article: LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation Open
Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low sample efficiency and requires iterative manual reward tuning. Large Language Models (LLMs) have shown promise in single-rob…
View article: Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Open
Federated learning (FL) has emerged as a promising distributed learning paradigm for training deep neural networks (DNNs) at the wireless edge, but its performance can be severely hindered by unreliable wireless transmission and inherent d…