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eess.SP2024
A Multi-Agent Multi-Environment Mixed Q-Learning for Partially Decentralized Wireless Network Optimization
Talha Bozkus, Urbashi Mitra
Q-learning is a powerful tool for network control and policy optimization in wireless networks, but it struggles with large state spaces. Recent advancements, like multi-environmen…
eess.SP2024
Coverage Analysis of Multi-Environment Q-Learning Algorithms for Wireless Network Optimization
Talha Bozkus, Urbashi Mitra
Q-learning is widely used to optimize wireless networks with unknown system dynamics. Recent advancements include ensemble multi-environment hybrid Q-learning algorithms, which uti…