Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use Mithul/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mithul/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mithul/ppo-LunarLander-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dc2e23cea9bf44b20fd70479a28305ac7d4d76dfe368335fc04bbfe8c0dcd70
- Size of remote file:
- 147 kB
- SHA256:
- 851a76c4fd46521cf8077a788354e2d9de2146d9c48fec0c5ced66186222dacd
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