readme: ---
  tags:
  - deep-reinforcement-learning
  - reinforcement-learning
  - decision-transformer
  - gym-continous-control
  
  pipeline_tag: reinforcement-learning
  
  ---
  # Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment
  This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on expert trajectories sampled from the Gym Hopper environment.
  
  The following normlization coefficients are required to use this model:
  
  mean = [ 1.3490015,  -0.11208222, -0.5506444,  -0.13188992, -0.00378754,  2.6071432,  0.02322114, -0.01626922, -0.06840388, -0.05183131,  0.04272673]
  
  std = [0.15980862, 0.0446214,  0.14307782, 0.17629202, 0.5912333,  0.5899924, 1.5405099,  0.8152689,  2.0173461,  2.4107876,  5.8440027 ]
  
  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.
  
  