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This is the code for "Sensor Networks" By Siraj Raval on Youtube as part of the Move 37 Course

License: MIT License

Python 100.00%

sensor_networks's Introduction

Overview

This is the code for this video on Youtube by Siraj Raval on Sensor Networks. We can imagine sensors as a grid, then use the bellman equation to compute the optimal policy to get from Router A to Router B as efficinetly as possible. Implementations of MDP value iteration, MDP policy iteration, and Q-Learning in a toy grid-world setting.

Dependencies

  • matplotlib
  • OpenCV
  • numpy

Install missing dependencies using pip

Usage

Run 'python RL.py' in terminal to run the code.

Credits

Credits for this code go to kevlar1818. I've merely created a wrapper to get people started.

sensor_networks's People

Contributors

llsourcell avatar

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