Papers2

#policy learning

Neural Predictor-Corrector: Solving Homotopy Problems with Reinforcement Learning

Jiayao Mai, Bangyan Liao et al.Feb 3arXiv

This paper shows that many hard math and AI problems can be solved with one shared idea called homotopy, where we move from an easy version of a problem to the real one step by step.

#homotopy continuation#predictor-corrector#reinforcement learning

Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models

Intermediate

Youwei Liu, Jian Wang et al.Jan 13arXiv

Agents often act like tourists without a map: they react to what they see now and miss long-term consequences.

#Imagine-then-Plan#world models#adaptive lookahead