Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use hqbui/ppo_LunarLander_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use hqbui/ppo_LunarLander_v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="hqbui/ppo_LunarLander_v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
Usage (with Stable-baselines3)
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(hqbui/ppo_LunarLander_v2, "lunar_lander_ppo_hb_2023_10_08.zip")
model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)
- Downloads last month
- 3
Evaluation results
- mean_reward on LunarLander-v2self-reported245.26 +/- 31.23