This repository contains some data, implementation, and results of the paper "RLChain: A DRL Approach for Blockchain Performance Optimization Towards IIoT." The paper is being submitted for consideration to IEEE Transactions on Network and Service Management.
- Python (>=3.8)
- numpy (>=1.20.3)
- pandas (>=1.2.4)
- matplotlib (>=3.4.2)
- seaborn (>=0.11.2)
- torch (>=1.7.1)
- scikit-learn (>=0.24.2)
- TensorFlow (>=2.4.1)
The repository is organized as follows:
-
data/
Contains the data used in the article; -
model/
Contains a partial code implementation of the model in the article; -
result/
Contains all the original results included in the article, as well as some experimental results not included in the article.