AIST1110_Project

Project Name:

Tank War

Group Member:

LAM, Yiu Fung Anson

FONG, Shi Yuk

Steps

0. [...] means optional argument. [...|...] means optional argument, and choose one of the two arguments only.
1. Open your own conda environment.
2. Execute the following commands in the Terminal:

cd TankWar/gym-tankwar 
conda create --name tankwar python=3.10 -y 
conda activate tankwar 
pip install -e .

3. Execute the following commands in the Terminal:

cd ../tankwar

4. To play the game, execute:

python tankwar_play.py -m human [-d DIFFICULTY] [-e EPISODES]

To visualize the gameplay GUI in a read-only human mode, execute:

python tankwar_play.py -m human_rand [-d DIFFICULTY] [-e EPISODES]

To expose the game in a non-GUI mode, execute:

python tankwar_play.py [-d DIFFICULTY] [-e EPISODES]

(DIFFICULTY: Game mode. 0 for easy mode, 1 for hard mode. Default: 0)

(EPISODES:Number of games to be played. Default: 1000)

(Check README.txt or execute:

python tankwar_play.py -h

to get all information of the command line arguments.)

5. Before training and testing the agent, execute:

pip install tensorflow==2.10.0

6. To train the agent, execute:

python tankwar_train.py -s SEED -d DIFFICULTY [-traine TRAIN_EPISODES | -fast]

(TRAIN_EPISODES:The number of training episodes. Default: 1000. Suggested value: 300)

(-fast: train the model in fast mode. Training finishes in around 20 minutes.)

7. To test the model, execute:

python tankwar_test.py -f FILE [-d DIFFICULTY] [-teste TEST_EPISODE]

(SEED: Seed for the random generator.) (TEST_EPISODES:The number of training episodes. Default: 100.) (FILE: model file name. 4 sample model is given in /models folder. Note that DIFFICULTY should match the specification given by the sample file name.)