Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use gstaff/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gstaff/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gstaff/ppo-LunarLander-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 996246a225fe0f3a185ba279127e553bb8642e0834a25f6166256cbb662f2890
- Size of remote file:
- 147 kB
- SHA256:
- fe85c378c5a2d9cf5bb140c5c63bb6d65a20b68f7ab8bcbe5b68fd70329e25a8
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