# deep-q-learning

**Repository Path**: conmi/deep-q-learning

## Basic Information

- **Project Name**: deep-q-learning
- **Description**: Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2025-08-25
- **Last Updated**: 2025-08-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# deep-q-learning

Introduction to Making a Simple Game AI with Deep Reinforcement Learning



![animation](./assets/animation.gif)

Minimal and Simple Deep Q Learning Implemenation in Keras and Gym. Under 100 lines of code!

The explanation for the `dqn.py` code is covered in the blog article
[https://keon.io/deep-q-learning/](https://keon.io/deep-q-learning/)


I made minor tweaks to this repository such as `load` and `save` functions for convenience.

I also made the `memory` a deque instead of just a list.
This is in order to limit the maximum number of elements in the memory.


The training might be unstable for `dqn.py`. This problem is mitigated in `ddqn.py`.
I'll cover `ddqn` in the next article.