Giter Club home page Giter Club logo

deep-q-learning-for-mobile-edge-computing's Introduction

Deep-Q-learning-for-mobile-edge-computing

More details can be found at https://ieeexplore.ieee.org/document/9253665

To run the code, please install tensorflow 1.4.0. File train.py is the main code. File fog_env.py contains the code for mobile edge computing environment. File RL_brain.py contains the code for deep reinforcement learning.

If you use this code for research, please cite the following paper: Ming Tang and Vincent W.S. Wong, β€œDeep Reinforcement Learning for Task Offloading in Mobile Edge Computing Systems,” IEEE Transactions on Mobile Computing, 2020 (Early Access).

deep-q-learning-for-mobile-edge-computing's People

Contributors

mingt2019 avatar

Forkers

s-masif

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.