Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use D0k-tor/LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use D0k-tor/LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("D0k-tor/LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- daad3769333aa23191929fb525e2265654964bd42c9c6eb37b9f47c062333f06
- Size of remote file:
- 42.6 kB
- SHA256:
- 3262cb9f8d71762568958150de91d2adbb7385c87e56d48030e8005230aa5d95
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