# Decision Transformer model trained on medium trajectories sampled from the Gym Hopper environment
This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium trajectories sampled from the Gym Hopper environment.

The following normlization coefficients are required to use this model:

mean = [ 1.311279, -0.08469521, -0.5382719,  -0.07201576,  0.04932366,  2.1066856, -0.15017354,  0.00878345, -0.2848186,  -0.18540096, -0.28461286] 

std = [0.17790751, 0.05444621, 0.21297139, 0.14530419, 0.6124444, 0.85174465, 1.4515252,  0.6751696,  1.536239,   1.6160746,  5.6072536 ]


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 medium trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer model trained on medium trajectories sampled from the Gym Hopper environment.

The following normlization coefficients are required to use this model:

mean = [ 1.311279, -0.08469521, -0.5382719,  -0.07201576,  0.04932366,  2.1066856, -0.15017354,  0.00878345, -0.2848186,  -0.18540096, -0.28461286] 

std = [0.17790751, 0.05444621, 0.21297139, 0.14530419, 0.6124444, 0.85174465, 1.4515252,  0.6751696,  1.536239,   1.6160746,  5.6072536 ]


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

The following normlization coefficients are required to use this model:

mean = [ 1.311279, -0.08469521, -0.5382719,  -0.07201576,  0.04932366,  2.1066856, -0.15017354,  0.00878345, -0.2848186,  -0.18540096, -0.28461286] 

std = [0.17790751, 0.05444621, 0.21297139, 0.14530419, 0.6124444, 0.85174465, 1.4515252,  0.6751696,  1.536239,   1.6160746,  5.6072536 ]


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 medium trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer model trained on medium trajectories sampled from the Gym Hopper environment.

The following normlization coefficients are required to use this model:

mean = [ 1.311279, -0.08469521, -0.5382719,  -0.07201576,  0.04932366,  2.1066856, -0.15017354,  0.00878345, -0.2848186,  -0.18540096, -0.28461286] 

std = [0.17790751, 0.05444621, 0.21297139, 0.14530419, 0.6124444, 0.85174465, 1.4515252,  0.6751696,  1.536239,   1.6160746,  5.6072536 ]


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 medium trajectories sampled from the Gym Hopper environment
This is a trained Decision Transformer model trained on medium trajectories sampled from the Gym Hopper environment.

The following normlization coefficients are required to use this model:

mean = [ 1.311279, -0.08469521, -0.5382719,  -0.07201576,  0.04932366,  2.1066856, -0.15017354,  0.00878345, -0.2848186,  -0.18540096, -0.28461286] 

std = [0.17790751, 0.05444621, 0.21297139, 0.14530419, 0.6124444, 0.85174465, 1.4515252,  0.6751696,  1.536239,   1.6160746,  5.6072536 ]


See our Blog Post,  Colab notebook or Example Script for usage.