Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use ElementBrawlerAI/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ElementBrawlerAI/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ElementBrawlerAI/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d148f1d6ce0fb7d0f0bb45a075593e78c8ee59cd27d5752257e4803b0d2b6fb7
- Size of remote file:
- 42.6 kB
- SHA256:
- 63e920a347963edbe909ae7cbc29d99452527b0cb9246c9f72ae87cbbde6fdb0
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