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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 983a37e1029661f83906c2534d3bb361e2479425fe31dad43f10f7b4495fbf35
- Size of remote file:
- 42.6 kB
- SHA256:
- cc729ee6ca191531086fc63373321ea7845efc03cfa23b346b26568f1093cd98
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