Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use robotman0/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robotman0/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotman0/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5febb57d07d30ede448412578a2c2f19fac482ee863f12cc79d85d4761f93aa1
- Size of remote file:
- 147 kB
- SHA256:
- ae9f18a96a2ef222aeeffa1cc1d45160d6894af7098a7772460d4cc9c3e88abe
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