Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use rishipatel92/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishipatel92/ppo-LunarLander-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rishipatel92/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 425bd97d1896d7aef8bd944aed3f36d8993136a4fe92392e37cc28bd530f2a89
- Size of remote file:
- 42.6 kB
- SHA256:
- 9afcc982d642d2ec2e34e72d79a55866b637787ce74e07494c1de94ed483265f
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