Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use slitivnov/de-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use slitivnov/de-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="slitivnov/de-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
take am207
Browse files- AM207/data +1 -1
- README.md +1 -1
- config.json +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
AM207/data
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{"w": [[
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{"w": [[9.944784669188659, -5.204051030426653, 28.848523299642522, 31.91774144131057, -48.432894898292304, -48.84125554453593, -65.62986620986206, -26.208852908127035, 29.90623838720367], [-25.334409212562562, -21.729982791460277, -6.8814272619408845, -43.51241656350327, 3.7429234417839323, -26.75193653155582, -35.55731929221558, 22.56427708095295, 3.8595686639913116], [-41.954281376204506, 16.122981986642714, -16.830143800227358, 17.356278749841042, 35.742033932006635, 19.554388851852178, -14.575110238178096, -1.3596646864342312, 11.541453784434587]]}
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README.md
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@@ -16,7 +16,7 @@ model-index:
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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: 249.40 +/- 87.75
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name: mean_reward
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verified: false
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---
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config.json
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{"w": [[
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{"w": [[9.944784669188659, -5.204051030426653, 28.848523299642522, 31.91774144131057, -48.432894898292304, -48.84125554453593, -65.62986620986206, -26.208852908127035, 29.90623838720367], [-25.334409212562562, -21.729982791460277, -6.8814272619408845, -43.51241656350327, 3.7429234417839323, -26.75193653155582, -35.55731929221558, 22.56427708095295, 3.8595686639913116], [-41.954281376204506, 16.122981986642714, -16.830143800227358, 17.356278749841042, 35.742033932006635, 19.554388851852178, -14.575110238178096, -1.3596646864342312, 11.541453784434587]], "system_info": {"OS": "Linux-5.15.0-107-generic-x86_64-with-glibc2.29 # 117~20.04.1-Ubuntu SMP Tue Apr 30 10:35:57 UTC 2024", "Python": "3.8.10", "Stable-Baselines3": "2.3.2", "PyTorch": "2.2.1+cu121", "GPU Enabled": "False", "Numpy": "1.24.4", "Cloudpickle": "3.0.0", "Gymnasium": "0.29.1", "OpenAI Gym": "0.26.2"}}
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replay.mp4
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Binary files a/replay.mp4 and b/replay.mp4 differ
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results.json
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{"mean_reward":
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{"mean_reward": 249.4015142, "std_reward": 87.75193394513569, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-27T18:00:01.637155"}
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