Taxi-Driving-Reinforcement-Learning-Project-A-Virtual-Autonomous-Taxi

Using Reinforcement Learning in Python to Teach an Agent to Drive

Group Members

Using a Q-Learning formula we can help the agent find the rewards, positive and negative, of driving routes for the passengers. Then with this knowledge it will continually improve over time all without any intervention.

Installation

Prerequisites

• Python 3.x
• pip (Python package installer)
• Virtual environment (recommended)

Steps

1. Clone the repository:

   
   git clone https://github.com/habib-gm/Taxi-Driving-reinforcement-learning-project-a-virtual-autonomous-taxi.git
   cd Taxi-Driving-reinforcement-learning-project-a-virtual-autonomous-taxi ```

2. install requirements:

     pip install -r requirements.txt

3. Usage:

   
   python agent_10000_trials.py