Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use DContrerasF/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use DContrerasF/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="DContrerasF/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
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First sweep attempt short eval
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First sweep attempt short eval
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First sweep attempt short eval
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First sweep attempt short eval
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First sweep attempt short eval
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First sweep attempt short eval
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First sweep attempt
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Upload PPO LunarLander-v2 trained agent test 34
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Upload PPO LunarLander-v2 trained agent
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Upload PPO LunarLander-v2 trained agent
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Upload PPO LunarLander-v2 trained agent
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Upload PPO LunarLander-v2 trained agent
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Upload PPO LunarLander-v2 trained agent
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DContrerasF/PPO-LunarLander-v2
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DContrerasF/PPO-LunarLander-v2
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DContrerasF/PPO-LunarLander-v2
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initial commit
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