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 Walker2d environment
  This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium-replay trajectories sampled from the Gym Walker2d environment.
  
  The following normlization coeficients are required to use this model:
  
  mean = [1.2093647, 0.13264023, -0.14371201, -0.20465161,  0.55776125, -0.03231537, -0.2784661,   0.19130707,  1.4701707,  -0.12504704,  0.05649531, -0.09991033, -0.34034026,  0.03546293, -0.08934259, -0.2992438,  -0.5984178 ] 
  
  std = [0.11929835, 0.3562574,  0.258522,   0.42075422, 0.5202291,  0.15685083, 0.3677098,  0.7161388,  1.3763766,  0.8632222,  2.6364644,  3.0134118, 3.720684,   4.867284,   2.6681626,  3.845187,   5.47683867]
  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.
  
  