# 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.


{"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 region:us
TAGS
#transformers #pytorch #decision_transformer #feature-extraction #deep-reinforcement-learning #reinforcement-learning #decision-transformer #gym-continous-control #arxiv-2106.01345 #endpoints_compatible #region-us 

# Decision Transformer model trained on medium-replay trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer 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,  Colab notebook or Example Script for usage.


# Decision Transformer model trained on medium-replay trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer 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,  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 #region-us 
 # Decision Transformer model trained on medium-replay trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer 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,  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 #region-us 
# Decision Transformer model trained on medium-replay trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer 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,  Colab notebook or Example Script for usage.