Subgoal Search For Complex Reasoning Tasks

I will present our publication accepted to NeurIPS 2021. We proposed a method that improves search guided by neural networks in  combinatorially complex domains. Its key component is a learned 
subgoal generator that produces a diversity of subgoals that are both achievable and closer to the solution. Using subgoals reduces the  search space and induces a high-level search graph suitable for efficient planning.