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": [[10.987439838175503, -3.60013050793397, 28.10360023968988, 32.29210261348577, -51.463266776068984, -49.97409005473572, -66.8540781424122, -25.421067713311473, 28.27455750451091], [-24.571099751156915, -20.44673097891706, -7.250834365469651, -43.40379389738795, 5.438445560247493, -28.422501357650233, -36.79674878776723, 23.48889046884968, 4.875543756724999], [-41.11372381278505, 15.967434454022344, -17.75051729618527, 18.503429906277177, 37.223372843933404, 20.04602434051125, -17.593027840019435, 1.016859215973118, 11.644116180605163]]}
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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: 260.33 +/- 67.88
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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": [[10.987439838175503, -3.60013050793397, 28.10360023968988, 32.29210261348577, -51.463266776068984, -49.97409005473572, -66.8540781424122, -25.421067713311473, 28.27455750451091], [-24.571099751156915, -20.44673097891706, -7.250834365469651, -43.40379389738795, 5.438445560247493, -28.422501357650233, -36.79674878776723, 23.48889046884968, 4.875543756724999], [-41.11372381278505, 15.967434454022344, -17.75051729618527, 18.503429906277177, 37.223372843933404, 20.04602434051125, -17.593027840019435, 1.016859215973118, 11.644116180605163]], "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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results.json
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{"mean_reward":
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{"mean_reward": 260.3335305, "std_reward": 67.87674605140018, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-05-27T18:01:26.622579"}
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