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ppo-LunarLander-v2
manojdokala/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from manojdokala. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for stable-baselines3.
This is a trained model of a PPO agent playing LunarLander-v2 for Unit 8 Part 1 of the Hugging Face Deep Reinforcement Learning Course.
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.zip1.1 MB · 48%
At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Access
- Public
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026
- SHA
- 925c4a15
Model card
From the Hugging Face model README
PPO Agent playing LunarLander-v2 (Unit 8 Part 1)
This is a trained model of a PPO agent playing LunarLander-v2 for Unit 8 Part 1 of the Hugging Face Deep Reinforcement Learning Course.
Evaluation Results
- Mean Reward: 290.85 +/- 20.01
- Environment: LunarLander-v2
- Algorithm: PPO (Proximal Policy Optimization)
Usage
To use this model in your RL pipeline:
from stable_baselines3 import PPO
from huggingface_sb3 import load_from_hub
model = load_from_hub(
repo_id="manojdokala/ppo-LunarLander-v2-unit8",
filename="PPO-LunarLander-v2.zip"
)
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- Created
- Sep 16, 2026
- Updated
- Sep 16, 2026