lueasecool / flappy_bird_dqn

###本工程文件适用于系统辨识小组作业

Flappy Bird with Deep Reinforcement Learning

Flappy Bird Game trained on 3 models DQN algorithm: Deep Q-Network, Double DQN (DDQN) and Dueling DDQN with Prioritized Experience Replay implemented using Pytorch.

Prerequisites

You will need Python 3.x.x with some packages which you can install direclty using requirements.txt.

pip install -r requirements.txt

Running The Game(切换Dueling_DQN时，需要先将play中的net换成DDQN）

first ,change the network form in paly_game.py(DQN or DDQN) THEN ,Use the following command to run the game where '--model' indicates the location of saved DQN model.

python play_game.py --model checkpoints/new/best_DQN.dat

see the demo in 'video' directory(demo视频在video文件夹）

see the eventout file in sclar/scalar2/scalar3,corrisponding to the DQN,DDQN,Dueling_DQN(tensorboard记录数据文件在scalar文件夹）