readme: ---
  tags:
  - deep-reinforcement-learning
  - reinforcement-learning
  - decision-transformer
  - gym-continous-control
  
  pipeline_tag: reinforcement-learning
  
  ---
  # Decision Transformer model trained on medium-replay trajectories sampled from the Gym Hopper environment
  This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium-replay trajectories sampled from the Gym Hopper environment.
  
  The following normlization coefficients are required to use this model:
  
  mean = [ 1.2305138,  -0.04371411, -0.44542956, -0.09370098,  0.09094488,  1.3694725, -0.19992675, -0.02286135, -0.5287045,  -0.14465883, -0.19652697]
  
  std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985,  1.0510299, 1.1583077,  0.79631287, 1.4802359,  1.6540332,  5.108601]
  
  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.
  