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“RLChain: A DRL Approach for Blockchain Performance Optimization Towards IIoT” (TNSM-2024-07530), is being submitted for consideration to IEEE Transactions on Network and Service Management.

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RLChain: A DRL Approach for Blockchain Performance Optimization Towards IIoT

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.

Dependencies

  • 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)

Implementation

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.

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“RLChain: A DRL Approach for Blockchain Performance Optimization Towards IIoT” (TNSM-2024-07530), is being submitted for consideration to IEEE Transactions on Network and Service Management.

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