Learning To Play By Loosing

I'm looking to apply this paper to a bot that plays Agar.io.

Step 1, Build the dataset

Clone this repository.
Create a conda environment from the env.yml file. My conda environment is a directory called env in the root of my project. I've so set up .gitignore to ignore the env directory in the in project root.

conda env create -p <Location of new environment> -f env.yml
    or
conda env create -n <Name of new environment> -f env.yml

python main2.py # Run the game bot for one round
python main2.py -r n # Run the game bot for n rounds
python main2.py -h # Show help

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
build		build
data_visuals		data_visuals
game_plays		game_plays
models		models
pics		pics
teacher_preds		teacher_preds
.gitignore		.gitignore
Danger_Vectors.png		Danger_Vectors.png
README.md		README.md
Saving_this_file_for_later.csv		Saving_this_file_for_later.csv
balanced_data_building.ipynb		balanced_data_building.ipynb
drop_out_history.csv		drop_out_history.csv
drop_out_history2.csv		drop_out_history2.csv
env.yml		env.yml
environment.txt		environment.txt
exceptions.csv		exceptions.csv
grid_search.csv		grid_search.csv
history.ipynb		history.ipynb
large_danger.png		large_danger.png
logbook.md.html		logbook.md.html
main.ipynb		main.ipynb
main.py		main.py
main2.ipynb		main2.ipynb
main2.py		main2.py
model.tflite		model.tflite
model1_trainingg.ipynb		model1_trainingg.ipynb
model_comparisons.png		model_comparisons.png
pov.mp4		pov.mp4
regularization_histories.csv		regularization_histories.csv
rounds.csv		rounds.csv
runs2_analysis copy.ipynb		runs2_analysis copy.ipynb
runs2_analysis.ipynb		runs2_analysis.ipynb
show_last_run.py		show_last_run.py
small_danger.png		small_danger.png
snapshot.ipynb		snapshot.ipynb
stats.csv		stats.csv
student_history.csv		student_history.csv
student_model.ipynb		student_model.ipynb
student_model2.ipynb		student_model2.ipynb
student_model_3.ipynb		student_model_3.ipynb
teacher_preds.csv		teacher_preds.csv
train_play.py		train_play.py
utils.py		utils.py
varying_danger.png		varying_danger.png
visualize_imitation_data.py		visualize_imitation_data.py