Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use anechaev/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use anechaev/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="anechaev/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42ee9a0a8819d154a8726017ce68cf63f36920e6f25a51c3aac5bf5991312042
- Size of remote file:
- 144 kB
- SHA256:
- cb1b45467dd3148505352d3b84a33011e95b2c123428cdd7c559ac3952f19203
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