This project is an implementation of a classical Tower Defence game, which allows you to play it on your own, and it also includes a gym-like environment for training RL agents.

• PyGame Tower Defence
• Tower Defence as gym environment
• DQN - IN PROGRESS
• inference script for DQN
• Gameplay recording for Immitation learning

1. Clone repository

git clone https://github.com/KyloRen1/TowerDefenceRLagent

2. Create python environment

python3 -m venv venv 
source venv/bin/activate
pip install -r requirements.txt

3. Run game

python -m src.main_game --cfg configs/game_config.yml

4. Run agent training

python -m src.main_agent --game-cfg configs/game_config.yml \
    --agent-cfg configs/agent_config.yml --world-speed 10