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anggimozzi
sdasdasdas11/anggimozzi
anggimozzi is a reinforcement learning model from sdasdasdas11. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
Welcome to your Agenlus Reinforcement Learning repository! This repository hosts multiple trained models.
Access
Public
Updated May 18, 2026
Repo size
36.1 KB
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- May 18, 2026
- Updated
- May 18, 2026
- SHA
- d3711e3a
Model card
From the Hugging Face model README
Agenlus Model Hub 🚀
Welcome to your Agenlus Reinforcement Learning repository! This repository hosts multiple trained models.
📊 Models Summary
| Model Name | Environment | Algorithm | Best Score | Episodes | Links |
|---|---|---|---|---|---|
| DQN-CartPole-v1-ep3 | CartPole-v1 | DQN | 17.67 | 3 | Browse Files |
📝 Model Details & Instructions
📦 DQN-CartPole-v1-ep3
- Environment:
CartPole-v1 - RL Algorithm:
DQN - Best Avg Reward:
17.67 - Episodes Trained:
3
Description: DQN model trained on CartPole-v1 for 3 episodes. Best avg reward: 17.67.
How to load:
const model = await tf.loadLayersModel('https://huggingface.co/sdasdasdas11/anggimozzi/raw/main/DQN-CartPole-v1-ep3/model.json');
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- May 18, 2026
- Updated
- May 18, 2026