Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
LunarLander-v2
Eval Results (legacy)
Instructions to use TSunm/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use TSunm/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="TSunm/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
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README.md
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---
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library_name: stable-baselines3
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tags:
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- LunarLander-v3
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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model-index:
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- name: PPO
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: LunarLander-
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type: LunarLander-
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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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# **PPO** Agent playing **LunarLander-v3**
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---
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library_name: stable-baselines3
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tags:
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- deep-reinforcement-learning
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- reinforcement-learning
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- stable-baselines3
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- LunarLander-v2
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model-index:
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- name: PPO LunarLander-v2
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: LunarLander-v2
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type: LunarLander-v2
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metrics:
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- type: mean_reward
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value: 269.48 +/- 16.00
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name: mean_reward
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---
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# **PPO** Agent playing **LunarLander-v3**
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