Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems

TL;DR

Reinforcement Learning algorithms commonly sample multiple ($n>1$) solution attempts for each problem and reward them independently…

Opening excerpt from the authors’ abstract. source