metadata
library_name: stable-baselines3
tags:
- reinforcement-learning
- battleship
- ppo
- maskable-ppo
- sb3-contrib
- custom-environment
Battleship PPO Agent — Hanks1234/battleship-ppo
A MaskablePPO agent trained on a 10x20 Battleship board with custom T-shaped and Z-shaped ships using sb3-contrib.
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
from training.hub import load_model_from_hub
model = load_model_from_hub("Hanks1234/battleship-ppo")