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RL_Models
umjunsik1323/RL_Models
RL_Models is a reinforcement learning model from umjunsik1323. 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 19, 2026
Repo size
348 KB
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Repo makeup
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- May 18, 2026
- Updated
- May 19, 2026
- SHA
- 62f3bdbc
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 |
|---|---|---|---|---|---|
| PPO-CartPole-v1-ep106 | CartPole-v1 | PPO | 55.94 | 106 | Browse Files |
📝 Model Details & Instructions
📦 PPO-CartPole-v1-ep106
- Environment:
CartPole-v1 - RL Algorithm:
PPO - Best Avg Reward:
55.94 - Episodes Trained:
106
Description: PPO model trained on CartPole-v1 for 106 episodes. Best avg reward: 55.94.
How to load:
const model = await tf.loadLayersModel('https://huggingface.co/umjunsik1323/RL_Models/raw/main/PPO-CartPole-v1-ep106/model.json');
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- May 18, 2026
- Updated
- May 19, 2026