Reinforcement Learning
Transformers
Hopper-v5
decision-transformer
deep-reinforcement-learning
custom-implementation
Instructions to use SriramSohan/hopper-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SriramSohan/hopper-v5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SriramSohan/hopper-v5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Push Decision Transformer to the Hub
Browse files- README.md +10 -0
- model.pt +3 -0
- replay.mp4 +0 -0
- results.json +1 -0
README.md
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# Decision Transformer for Hopper-v5
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This is a trained Decision Transformer model for the Hopper-v5 environment.
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## Model Details
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- Environment: Hopper-v5
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- Model: Decision Transformer
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- Training framework: PyTorch
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad28ca9f309da990c3eed9d847242d44eef62f7d61647fb16405756b5a789a51
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size 3450363
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replay.mp4
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Binary file (999 kB). View file
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results.json
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{"env_id": "Hopper-v5", "eval_datetime": "2025-01-20T19:19:20.081360"}
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