What If: Generating Code to Answer Simulation Questions

1 code implementation • 16 Apr 2022 • Gal Peretz, Kira Radinsky

The dataset is composed of process texts, simulation questions, and their corresponding computer codes represented by the DSL. We propose a neural program synthesis approach based on reinforcement learning with a novel state-transition semantic reward.

Program Synthesis Semantic Similarity +1