# 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.


{"tags": ["deep-reinforcement-learning", "reinforcement-learning", "decision-transformer", "gym-continous-control"], "pipeline_tag": "reinforcement-learning"}
transformers pytorch decision_transformer feature-extraction deep-reinforcement-learning reinforcement-learning decision-transformer gym-continous-control arxiv:2106.01345 endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #decision_transformer #feature-extraction #deep-reinforcement-learning #reinforcement-learning #decision-transformer #gym-continous-control #arxiv-2106.01345 #endpoints_compatible #has_space #region-us 

# Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer 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,  Colab notebook or Example Script for usage.


# Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer 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,  Colab notebook or Example Script for usage.
TAGS
#transformers #pytorch #decision_transformer #feature-extraction #deep-reinforcement-learning #reinforcement-learning #decision-transformer #gym-continous-control #arxiv-2106.01345 #endpoints_compatible #has_space #region-us 
 # Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer 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,  Colab notebook or Example Script for usage.
passage: TAGS
#transformers #pytorch #decision_transformer #feature-extraction #deep-reinforcement-learning #reinforcement-learning #decision-transformer #gym-continous-control #arxiv-2106.01345 #endpoints_compatible #has_space #region-us 
# Decision Transformer model trained on expert trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer 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,  Colab notebook or Example Script for usage.