| --- |
| library_name: stable-baselines3 |
| tags: |
| - reinforcement-learning |
| - battleship |
| - ppo |
| - maskable-ppo |
| - sb3-contrib |
| - custom-environment |
| --- |
| |
| # Battleship PPO Agent — Hanks1234/battleship-ppo-phase3 |
|
|
| A MaskablePPO agent trained on a 10x20 Battleship board with custom |
| T-shaped and Z-shaped ships using [sb3-contrib](https://sb3-contrib.readthedocs.io/). |
|
|
| ## Environment |
|
|
| - **Board**: 10 columns x 20 rows |
| - **Ships**: 10 ships including T-shaped Battleships and Z-shaped Carriers |
| - **Observation**: 5-channel binary image (5, 20, 10) |
| - **Action**: Discrete(200) with action masking (no repeat shots) |
|
|
| ## Usage |
|
|
| ```python |
| from training.hub import load_model_from_hub |
| |
| model = load_model_from_hub("Hanks1234/battleship-ppo-phase3") |
| ``` |
|
|
