Prompting LLMs with a few reward-ranked state-action examples controls base station power at a level comparable to a trained DQN on a small simulated problem.
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Prompting Wireless Networks: Reinforced In-Context Learning for Power Control
Prompting LLMs with a few reward-ranked state-action examples controls base station power at a level comparable to a trained DQN on a small simulated problem.