Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer

Explore ReinPatch, a novel reinforcement learning framework that optimizes sequence patching policies for superior time-series forecasting and adaptive repre...

Level: advanced

By Yulun Wu

Category: research