Deep Q-Learning exercise

This repository contains simple example Deep Q-Learning. Made as a part of MI-TNN course at the FIT CTU.

Contents

• agents - contains couple simple agents for Deep Q-Learning. Agents are varying in complexity and their abilities.
• report.pdf - report describing the problem, proposed architectures, results and conclusion.
• main.py - entry point of the evaluation application.

Requirements

• Python 3

Running

First run

$ pip install -r requirements.txt

then

python main.py

Author

• Hynek Davídek