Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Guru-Raja-124/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Guru-Raja-124/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Guru-Raja-124/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Upload LunarLander-v2 PPO agent with evaluation metadata
Browse files- results.json +1 -1
results.json
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"mean_reward": -79.21017984412349,
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"std_reward": 32.4528539420925,
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"n_evaluation_episodes": 20,
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"eval_datetime": "2026-09-
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"training_timesteps": 2000000,
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"score_mean_minus_std": -111.66303378621599
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}
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"mean_reward": -79.21017984412349,
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"std_reward": 32.4528539420925,
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"n_evaluation_episodes": 20,
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"eval_datetime": "2026-09-06T07:05:28.494797+00:00",
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"training_timesteps": 2000000,
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"score_mean_minus_std": -111.66303378621599
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}
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