@@ -4,9 +4,8 @@ This repository contains the code for the two case studies presented in the pape
The work focuses on the generation, design and optimization of chemical process flowsheets using Reinforcement Learning. The full paper can be found in <https://aiche.onlinelibrary.wiley.com/doi/10.1002/aic.18584?af=R>
## Case Study 1
-**Description**: Brief overview of the first case study.
-**Objective**: What is being optimized or analyzed.
-**Methods**: Outline of methods or algorithms used.
This case study compares the performance of discrete and hybrid masked PPO agents in generating a chemical process flowsheet for the reaction $A \leftarrow B$. With this illustrative example it was found that for simple examples in which the number of discrete and continuous varibles are reduced, a fully discretized agent outperfroms the hybrid agent, achieving better rewards.
## Case Study 2
-**Description**: Brief overview of the second case study.
