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": [[13.638864214588269, -2.9365752406563588, 28.255707855294457, 33.39044894978971, -50.49279452663126, -44.96445692846198, -66.05904025665126, -27.192532171658126, 27.720807080007184], [-25.083459728915386, -22.576534095962927, -5.7650588395764215, -43.680734896976126, 1.247693220451446, -27.348307731626793, -36.93482217577055, 24.84151313307152, 5.6241645752083205], [-38.506821854151404, 16.853116026948996, -19.67276850570824, 18.62379794403954, 35.92011780151588, 19.913752195166854, -15.089039952323846, -1.5881181085602203, 11.79204035179267]]}
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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: 280.63 +/- 35.81
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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": [[13.638864214588269, -2.9365752406563588, 28.255707855294457, 33.39044894978971, -50.49279452663126, -44.96445692846198, -66.05904025665126, -27.192532171658126, 27.720807080007184], [-25.083459728915386, -22.576534095962927, -5.7650588395764215, -43.680734896976126, 1.247693220451446, -27.348307731626793, -36.93482217577055, 24.84151313307152, 5.6241645752083205], [-38.506821854151404, 16.853116026948996, -19.67276850570824, 18.62379794403954, 35.92011780151588, 19.913752195166854, -15.089039952323846, -1.5881181085602203, 11.79204035179267]], "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": 280.63226199999997, "std_reward": 35.810804523059275, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-27T17:57:18.713363"}
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