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Create README.md
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README.md
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---
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tags:
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- deep-reinforcement-learning
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- reinforcement-learning
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- decision-transformer
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- gym-continous-control
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---
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# Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment
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This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on expert trajectories sampled from the Gym Hopper environment
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<video src="https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/hopper-medium.mp4" controls autoplay loop></video>
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The following normlization coefficients are required to use this model:
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mean = [ 1.311279, -0.08469521, -0.5382719, -0.07201576, 0.04932366, 2.1066856, -0.15017354, 0.00878345, -0.2848186, -0.18540096, -0.28461286]
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std = [0.17790751, 0.05444621, 0.21297139, 0.14530419, 0.6124444, 0.85174465, 1.4515252, 0.6751696, 1.536239, 1.6160746, 5.6072536 ]
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See our [Blog Post](https://colab.research.google.com/drive/1K3UuajwoPY1MzRKNkONNRS3gS5DxZ-qF?usp=sharing), [Colab notebook](https://colab.research.google.com/drive/1K3UuajwoPY1MzRKNkONNRS3gS5DxZ-qF?usp=sharing) or [Example Script](https://github.com/huggingface/transformers/tree/main/examples/research_projects/decision_transformer) for usage.
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