Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use eugene-d/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugene-d/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugene-d/ppo-LunarLander-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79688d900101d1e3c2b9dad09af582d0ca9c09d863cb4f98e815cf10f66660c6
- Size of remote file:
- 42.6 kB
- SHA256:
- 2b9d543238803c060f8dbf5c92d5a1c98334eac95137b947dc15b59717d77604
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