Final Project: DQN-Car-Race

Overview

This is the final project of GEE9022 (Cloud Computing and Big Data Analytics) in NCTU (National Chiao Tung University). This project demostrates a car race (object dodging) game with Deep-Q-Learning

Installation Dependencies:

• Python 2.7
• TensorFlow 1.4
• pygame
• OpenCV-Python

How to Run?

git clone https://github.com/albert100121/DQN_Car_Race.git
python deep_q_network.py

How to Reproduce?

1. Comment out these lines

2. Set deep_q_network.py paramters as follows

GAME = 'car'
ACTIONS = 3
GAMMA = 0.99
OBSERVE = 10000.
EXPLORE = 3000000.
FINAL_EPSILON = 0.0001
INITIAL_EPSILON = 1
REPLAY_MEMORY = 50000
BATCH = 32
FRAME_PER_ACTION = 1

Disclaimer

This work is highly based on the following repos:

1. yenchenlin/DeepLearningFlappyBird
2. pygame_car_race