---
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")
```