Lin F. Yang

Noisy communication channels fundamentally limit the performance of multi-armed bandit algorithms, but exploiting the zero-error capacity of the channel can surprisingly improve best-arm identification.

Get 50% shorter LLM responses without sacrificing accuracy using a new RL method that dynamically balances task reward and length constraints.