Reinforcement Learning
Transformers
TensorBoard
ONNX
Taxi-v3
q-learning
custom-implementation
Eval Results (legacy)
Instructions to use jackoyoungblood/DeepRL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackoyoungblood/DeepRL with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jackoyoungblood/DeepRL", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85b98877148d54c9c13ce8dda712df925bc633ddff4d2c91ca5bd1377e49ff59
- Size of remote file:
- 120 kB
- SHA256:
- 3b08f4ac4113c880f81bbe9dc65bd820ede55ef6a2f0a98cc04feece408315fc
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