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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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pipeline_tag: reinforcement-learning |
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--- |
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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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<video src="https://huggingface.co/edbeeching/decision-transformer-gym-walker2d-medium/resolve/main/walker2d-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 = [ 1.218966, 0.14163373, -0.03704914, -0.1381431, 0.51382244, -0.0471911, -0.47288352, 0.04225416, 2.3948874, -0.03143199, 0.04466356, -0.02390724, -0.10134014, 0.09090938, -0.00419264, -0.12120572, -0.5497064] |
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std = [0.12311358, 0.324188, 0.11456084, 0.26230657, 0.5640279, 0.22718786, 0.38373196, 0.7373677, 1.2387927, 0.7980206, 1.5664079, 1.8092705, 3.0256042, 4.062486, 1.4586568, 3.744569, 5.585129 ] |
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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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