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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 medium trajectories sampled from the Gym HalfCheetah 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 Hopper environment
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<video src="https://huggingface.co/edbeeching/decision-transformer-gym-halfcheetah-medium/resolve/main/halfcheetah-medium.mp4" controls autoplay loop></video>
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The following normlization coeficients are required to use this model:
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mean = [-0.06845774, 0.01641455, -0.18354906, -0.27624607, -0.34061527, -0.09339716, -0.21321271, -0.08774239, 5.1730075, -0.04275195, -0.03610836, 0.14053793, 0.06049833, 0.09550975, 0.067391, 0.00562739, 0.01338279]
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std = [0.07472999, 0.30234998, 0.3020731, 0.34417078, 0.17619242, 0.5072056, 0.25670078, 0.32948127, 1.2574149, 0.7600542, 1.9800916, 6.5653625, 7.4663677, 4.472223, 10.566964, 5.6719327, 7.498259]
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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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