Reinforcement Learning
stable-baselines3
TensorBoard
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use aadarshram/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use aadarshram/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="aadarshram/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from aadarshram/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 184 kB
-
https://huggingface.co/aadarshram/ppo-LunarLander-v2/resolve/main/replay.mp4
- Command line
-
hf download hf://aadarshram/ppo-LunarLander-v2/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/aadarshram/ppo-LunarLander-v2/resolve/main/replay.mp4
184 kB
- Xet hash:
- 0d75e033a70e50b8193cb4fea29c75e7aabcdb224bc5d467bef9d911bfa20576
- Size of remote file:
- 184 kB
- SHA256:
- 2138f2b144fbd170cde9dc9f563660f821a415e51174695f5db43d2b9c70dadb
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