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
File size: 315 Bytes
f47cd8a | 1 2 3 4 5 6 7 8 9 10 11 12 13 | #{"t_start": 1742091357.5793684, "env_id": "LunarLander-v2"}
r,l,t
267.301175,348,0.483742
256.798566,315,0.859033
288.03102,311,1.183863
283.191664,332,1.601948
200.120246,351,2.05412
275.48316,349,2.406648
264.807716,338,2.808979
250.450361,351,3.200726
284.796911,312,3.521114
272.826677,315,3.827086
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