How to use from the
Use from the
stable-baselines3 library
from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(
	repo_id="sdasdasdas11/anggimozzi",
	filename="{MODEL FILENAME}.zip",
)

Agenlus Model Hub πŸš€

Welcome to your Agenlus Reinforcement Learning repository! This repository hosts multiple trained models.

πŸ“Š Models Summary

Model Name Environment Algorithm Best Score Episodes Links
DQN-CartPole-v1-ep3 CartPole-v1 DQN 17.67 3 Browse Files

πŸ“ Model Details & Instructions

πŸ“¦ 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');

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