AI RESEARCH
A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism
arXiv CS.LG
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ArXi:2605.24436v1 Announce Type: cross Selecting the most suitable algorithm for a given problem instance remains a challenging task, particularly in online or dynamic environments where problem characteristics evolve over time. Relying solely on instantaneous performance metrics can result in a reactive and unstable behaviour, often leading to suboptimal algorithm switching. This paper