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space-evaders
brandinho/space-evaders
space-evaders is a machine learning model from brandinho. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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Public
Updated Oct 9, 2025
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710 KB
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At a glance
- License
- mit
- Access
- Public
- Created
- Oct 8, 2025
- Updated
- Oct 9, 2025
- SHA
- 5bd84efe
Model card
From the Hugging Face model README
Link to Environment: SpaceEvaders-v0
| Param | Value |
|---|---|
| Algorithm | PPO |
| Total timesteps | 10,000,000 |
| Framework | Stable-Baselines3 |
| Environment | SpaceEvaders-v0 |
Reproduce Results
To train a similar model, you can run the follow code:
from stable_baselines3 import PPO
from sai_rl import SAIClient
## Initialize the SAI client
sai = SAIClient("SpaceEvaders-v0")
## Make the environment
env = sai.make_env()
# Initialize PPO agent
model = PPO("MlpPolicy", env, verbose=1)
# Train
model.learn(total_timesteps=10_000_000)
# Save trained model
sai.save_model("Space Captain", model)
- License
- mit
- Created
- Oct 8, 2025
- Updated
- Oct 9, 2025