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 lunarlander.monitor.csv from aadarshram/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 315 Bytes
-
https://huggingface.co/aadarshram/ppo-LunarLander-v2/resolve/main/lunarlander.monitor.csv
- Command line
-
hf download hf://aadarshram/ppo-LunarLander-v2/lunarlander.monitor.csv
-
curl -L -o lunarlander.monitor.csv https://huggingface.co/aadarshram/ppo-LunarLander-v2/resolve/main/lunarlander.monitor.csv
315 Bytes
| #{"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 | |