Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Classroom-workshop/assignment2-francesco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Classroom-workshop/assignment2-francesco with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Classroom-workshop/assignment2-francesco", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add `agent.pt` and tag the environment
Verified signatureThis commit adds a model that is compatible with the 🥇 [Open RL Leaderboard](https://huggingface.co/spaces/open-rl-leaderboard/leaderboard) 🥇.d32570a
-
Upload ppo-LunarLander-v2/system_info.txt
Omar Sanseviero606c01d -
Upload ppo-LunarLander-v2/pytorch_variables.pth with git-lfs
Omar Sanseviero8cd1651 -
Upload ppo-LunarLander-v2/policy.pth with git-lfs
Omar Sanseviero019ac04 -
Upload ppo-LunarLander-v2/policy.optimizer.pth with git-lfs
Omar Sansevieroeefd941 -
Upload ppo-LunarLander-v2/data
Omar Sanseviero9566444 -
Upload ppo-LunarLander-v2/_stable_baselines3_version
Omar Sansevierofcb72b6 -
Upload results.json
Omar Sanseviero56691db -
Upload replay.mp4
Omar Sanseviero64e4e22 -
Upload ppo-LunarLander-v2.zip with git-lfs
Omar Sanseviero3a67a32 -
Upload config.json
Omar Sanseviero91d48be -
Upload README.md
Omar Sansevierob2b4e61 -
initial commit
Omar Sanseviero5dac091