Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use diskshima/deep-rl-class-unit01-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use diskshima/deep-rl-class-unit01-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="diskshima/deep-rl-class-unit01-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2-1000000-steps-hf.zip from diskshima/deep-rl-class-unit01-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/diskshima/deep-rl-class-unit01-LunarLander-v2/resolve/main/ppo-LunarLander-v2-1000000-steps-hf.zip
- Command line
-
hf download hf://diskshima/deep-rl-class-unit01-LunarLander-v2/ppo-LunarLander-v2-1000000-steps-hf.zip
-
curl -L -o ppo-LunarLander-v2-1000000-steps-hf.zip https://huggingface.co/diskshima/deep-rl-class-unit01-LunarLander-v2/resolve/main/ppo-LunarLander-v2-1000000-steps-hf.zip
144 kB
- Xet hash:
- 6f41e7bb65aa9f5bbda73788e5c8dd3c548421253291285e2339b4ba48ac28c1
- Size of remote file:
- 144 kB
- SHA256:
- 2700e99ebdb1395d204319017730468b470a5292352aab0151f2cd251f4181e9
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