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Train a self-driving cab to maneuver the streets and reach destination without collisions using Reinforcement learning model, Q-Learning

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Smart Cab

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software and how to install them

  • Python 2.7
  • pygame

Installing

  • Install Python 2.7 with the pygame library installed

Running

In a terminal or command window, navigate to the top-level project directory smartcab/ (that contains this README) and run one of the following commands:

python smartcab/agent.py
python -m smartcab.agent

This will run the agent.py file and execute your agent code.

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Train a self-driving cab to maneuver the streets and reach destination without collisions using Reinforcement learning model, Q-Learning

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