Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use ChechkovEugene/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChechkovEugene/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChechkovEugene/ppo-LunarLander-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7de36e162fec7b770ef7a7dcf914aaec4c96a28bda30b1fd814afbe97b70abb8
- Size of remote file:
- 147 kB
- SHA256:
- ac3f240c5e2fa8a8e7629b0c2756e055c2f605ecda7e896fd0ea82ba3e7bb3e3
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