WirelessAgent-R2
WirelessAgent-R2 is an automated workflow optimization system that uses Monte Carlo Tree Search (MCTS) to iteratively discover and refine LLM-based problem-solving strategies for wireless communication tasks, achieving a 20% performance improvement from 0.583 to 0.78 accuracy through intelligent exploration of prompt designs and operator
Classification
WirelessAgent-R2 is an automated workflow optimization system that uses Monte Carlo Tree Search (MCTS) to iteratively discover and refine LLM-based problem-solving strategies for wireless communication tasks, achieving a 20% performance improvement from 0.583 to 0.78 accuracy through intelligent exploration of prompt designs and operator
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