Reinforcement Learning
Transformers
PyTorch
decision_transformer
feature-extraction
deep-reinforcement-learning
decision-transformer
gym-continous-control
Instructions to use edbeeching/decision-transformer-gym-walker2d-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use edbeeching/decision-transformer-gym-walker2d-medium with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("edbeeching/decision-transformer-gym-walker2d-medium") model = AutoModel.from_pretrained("edbeeching/decision-transformer-gym-walker2d-medium") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Decision Transformer model trained on medium trajectories sampled from the Gym Walker2d environment
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This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium trajectories sampled from the Gym Walker2d environment
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The following normlization coeficients are required to use this model:
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# Decision Transformer model trained on medium trajectories sampled from the Gym Walker2d environment
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This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium trajectories sampled from the Gym Walker2d environment.
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The following normlization coeficients are required to use this model:
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