Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AndreMitri/ppo_LunasLander_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AndreMitri/ppo_LunasLander_v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AndreMitri/ppo_LunasLander_v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e47110fae50364ba6201128d3cfa61941aeb409507487211722e4611f58fa1cf
- Size of remote file:
- 147 kB
- SHA256:
- 03a3d416463461f791709731ded651802081eb00dbf051c7c5253afd2c81533c
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