Multi-agent Dynamic Algorithm Configuration
Published in arXiv (Cornell University) • Oct 13, 2022
Authors:,,
Ke Xue
Jiacheng Xu
Lei Yuan
Abstract
Automated algorithm configuration relieves users from tedious, trial-and-error tuning tasks. A popular algorithm configuration tuning paradigm is dynamic algorithm configuration (DAC), in which an agent learns dynamic configuration policies across instances by reinforcement learning (RL). However, i...
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