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ppo-LunarLander-v2
bestdive/ppo-LunarLander-v2
ppo-LunarLander-v2 is a reinforcement learning model from bestdive. 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. The card lists the license as mit.
Kay Zheng's Unit 1 coursework, trained from scratch with AI coding assistance. Stable Baselines3 2.3.2, Gymnasium 0.29.1, box2d-py 2.3.8, seed 42. Training: 761856 steps on 8 environments, local CPU. Validation seeds…
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At a glance
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- License
- mit
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026
- SHA
- 08510255
Model card
From the Hugging Face model README
PPO LunarLander-v2
Kay Zheng's Unit 1 coursework, trained from scratch with AI coding assistance. Stable Baselines3 2.3.2, Gymnasium 0.29.1, box2d-py 2.3.8, seed 42. Training: 761856 steps on 8 environments, local CPU. Validation seeds 50000–50019; final independent evaluation seeds 100000–100099. Mean reward 248.60384153527525, standard deviation 22.2469236328401; mean minus std 226.356918. All evaluation episode rewards are included in evaluation.json.
Reproduce with python train_lunar.py. Load with PPO.load('model.zip').
- Task
- Reinforcement Learning
- Library
- stable-baselines3
- License
- mit
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026