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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-replay 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 medium-replay trajectories sampled from the Gym Hopper environment |
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<video src="https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium-replay/resolve/main/hopper-medium-replay.mp4" controls autoplay loop></video> |
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The following normlization coefficients are required to use this model: |
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mean = [ 1.2305138, -0.04371411, -0.44542956, -0.09370098, 0.09094488, 1.3694725, -0.19992675, -0.02286135, -0.5287045, -0.14465883, -0.19652697] |
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std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985, 1.0510299, 1.1583077, 0.79631287, 1.4802359, 1.6540332, 5.108601] |
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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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