Final project for AI class - HCMUTE

by tsdocode

1. Installation

1.1 Cài đặt môi trường Anaconda

conda create -n flappy python=3.7
conda activate flappy

1.2 Cài đặt thư viện

git clone https://github.com/ntasfi/PyGame-Learning-Environment.git
cd PyGame-Learning-Environment/
pip install -e .
cd ..
pip install -r requirements.txt

1.3 Sửa lỗi xung đột phiên bản

#time.clock => 
time.process_time 

2. Training

In train.py

from Agent.QLearning import Qlearning

bird = Qlearning(actions= [0,1],epsilon=0.1,flaprobs=0.4,rounding=12)

bird.train(episodes=10000, gamma=0.8, lr=0.8)

In terminal

python train.py

3. Evaluation

3.1 Kiểm thử hiệu quả agent

from Agent.QLearning import Qlearning

bird = Qlearning(actions = [0,1] , epsilon = 0.1, rounding= 12, flaprobs=0.1)

bird.play(1) # số lần thử

4. Reference

Vu, Tai & Tran, Leon. (2020). FlapAI Bird: Training an Agent to Play Flappy Bird Using Reinforcement Learning Techniques. [paper]