Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AlexTrinityBlock/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AlexTrinityBlock/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AlexTrinityBlock/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload PPO LunarLander-v2 trained agent
Browse files- .gitattributes +1 -0
- README.md +1 -1
- ppo-LunarLander-v2.zip +1 -1
- replay.mp4 +3 -0
- results.json +1 -1
.gitattributes
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README.md
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: 227.82 +/- 45.75
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name: mean_reward
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verified: false
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---
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ppo-LunarLander-v2.zip
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size 150007
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version https://git-lfs.github.com/spec/v1
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replay.mp4
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size 171186
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results.json
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{"mean_reward":
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{"mean_reward": 227.8151113270946, "std_reward": 45.753736748641465, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-04-18T16:45:32.458774"}
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