Soccer-Twos Starter Kit

Example training/testing scripts for our Soccer-Twos environment.

Requirements

Clone this repository
Install the requirements: pip install -r requirements.txt
Run python example_random.py to watch a random agent play the game
Run python example_ray_team_vs_random.py to train team vs team against a random agent using Ray RLLib

You may also run this environment on Colab.

To submit an agent for a Soccer-Twos competition you must follow this instructions:

Implement a class that inherits from soccer_twos.AgentInterface and implements an act method
Fill in your agent's information in the README.md file (agent name, authors & emails, and description)
Test your agent module as described in the next section
Compress your agent's module folder as .zip.

See example_player_agent/ or example_team_agent/ module for reference.

Use the environment's rollout tool to test your module before submission:

python -m soccer_twos.watch -m example_player_agent

You may also run your agent against our pre-trained baseline (download). Extract the ceia_baseline_agent folder to this project's folder and run:

python -m soccer_twos.watch -m1 example_player_agent -m2 ceia_baseline_agent

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
example_player_agent		example_player_agent
example_team_agent		example_team_agent
.gitignore		.gitignore
README.md		README.md
curriculum.yaml		curriculum.yaml
curriculum_test.py		curriculum_test.py
example_colab.ipynb		example_colab.ipynb
example_configuration_channel.py		example_configuration_channel.py
example_random_players.py		example_random_players.py
example_random_teams.py		example_random_teams.py
example_ray_dqn_sp.py		example_ray_dqn_sp.py
example_ray_ma_players.py		example_ray_ma_players.py
example_ray_ma_players_offline.py		example_ray_ma_players_offline.py
example_ray_ma_teams.py		example_ray_ma_teams.py
example_ray_ppo_sp_still.py		example_ray_ppo_sp_still.py
example_ray_team_vs_random.py		example_ray_team_vs_random.py
requirements.txt		requirements.txt
train_ray_curriculum.py		train_ray_curriculum.py
train_ray_selfplay.py		train_ray_selfplay.py
utils.py		utils.py