Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use JackForAI/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use JackForAI/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="JackForAI/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload PPO LunarLander-v3 trained agent
Browse files- README.md +1 -1
- ppo-LunarLander-v3.zip +1 -1
- results.json +1 -1
README.md
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type: LunarLander-v3
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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-v3
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metrics:
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- type: mean_reward
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value: 248.97 +/- 19.79
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name: mean_reward
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verified: false
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---
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ppo-LunarLander-v3.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 149603
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c85ebdd752f5b160cadbc19c93592285db4d78755b9081a0114aeba0fee0e30
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size 149603
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results.json
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{"mean_reward":
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{"mean_reward": 248.96578129999997, "std_reward": 19.792770069422936, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-06-30T02:50:23.418781"}
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