Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use KayabaEngine/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KayabaEngine/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KayabaEngine/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9275a765255823105d4d04d10fbcb987a1b724ee847e129c467b3c603cdcf79
- Size of remote file:
- 151 kB
- SHA256:
- f746e0ac568f3bddf4bcb3ccbdd84a3981beb33e6447f70ea449edeb0fe81a16
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