# Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment
This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on expert trajectories sampled from the Gym Walker2d environment.

The following normlization coeficients are required to use this model:

mean = [ 1.2384834e+00,  1.9578537e-01, -1.0475016e-01, -1.8579608e-01,  2.3003316e-01,  2.2800924e-02, -3.7383768e-01, 3.3779100e-01,  3.9250960e+00, -4.7428459e-03,  2.5267061e-02, -3.9287535e-03, -1.7367510e-02, -4.8212224e-01, 3.5432147e-04, -3.7124525e-03,  2.6285544e-03] 

std = [0.06664903, 0.16980624, 0.17309439, 0.21843709, 0.74599105, 0.02410989, 0.3729872,  0.6226182,  0.9708009,  0.72936815, 1.504065,   2.495893, 3.511518,   5.3656907, 0.79503316, 4.317483,   6.1784487]
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 expert trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment.

The following normlization coeficients are required to use this model:

mean = [ 1.2384834e+00,  1.9578537e-01, -1.0475016e-01, -1.8579608e-01,  2.3003316e-01,  2.2800924e-02, -3.7383768e-01, 3.3779100e-01,  3.9250960e+00, -4.7428459e-03,  2.5267061e-02, -3.9287535e-03, -1.7367510e-02, -4.8212224e-01, 3.5432147e-04, -3.7124525e-03,  2.6285544e-03] 

std = [0.06664903, 0.16980624, 0.17309439, 0.21843709, 0.74599105, 0.02410989, 0.3729872,  0.6226182,  0.9708009,  0.72936815, 1.504065,   2.495893, 3.511518,   5.3656907, 0.79503316, 4.317483,   6.1784487]
See our Blog Post,  Colab notebook or Example Script for usage.


# Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment.

The following normlization coeficients are required to use this model:

mean = [ 1.2384834e+00,  1.9578537e-01, -1.0475016e-01, -1.8579608e-01,  2.3003316e-01,  2.2800924e-02, -3.7383768e-01, 3.3779100e-01,  3.9250960e+00, -4.7428459e-03,  2.5267061e-02, -3.9287535e-03, -1.7367510e-02, -4.8212224e-01, 3.5432147e-04, -3.7124525e-03,  2.6285544e-03] 

std = [0.06664903, 0.16980624, 0.17309439, 0.21843709, 0.74599105, 0.02410989, 0.3729872,  0.6226182,  0.9708009,  0.72936815, 1.504065,   2.495893, 3.511518,   5.3656907, 0.79503316, 4.317483,   6.1784487]
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 expert trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment.

The following normlization coeficients are required to use this model:

mean = [ 1.2384834e+00,  1.9578537e-01, -1.0475016e-01, -1.8579608e-01,  2.3003316e-01,  2.2800924e-02, -3.7383768e-01, 3.3779100e-01,  3.9250960e+00, -4.7428459e-03,  2.5267061e-02, -3.9287535e-03, -1.7367510e-02, -4.8212224e-01, 3.5432147e-04, -3.7124525e-03,  2.6285544e-03] 

std = [0.06664903, 0.16980624, 0.17309439, 0.21843709, 0.74599105, 0.02410989, 0.3729872,  0.6226182,  0.9708009,  0.72936815, 1.504065,   2.495893, 3.511518,   5.3656907, 0.79503316, 4.317483,   6.1784487]
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 expert trajectories sampled from the Gym Walker2d environment
This is a trained Decision Transformer model trained on expert trajectories sampled from the Gym Walker2d environment.

The following normlization coeficients are required to use this model:

mean = [ 1.2384834e+00,  1.9578537e-01, -1.0475016e-01, -1.8579608e-01,  2.3003316e-01,  2.2800924e-02, -3.7383768e-01, 3.3779100e-01,  3.9250960e+00, -4.7428459e-03,  2.5267061e-02, -3.9287535e-03, -1.7367510e-02, -4.8212224e-01, 3.5432147e-04, -3.7124525e-03,  2.6285544e-03] 

std = [0.06664903, 0.16980624, 0.17309439, 0.21843709, 0.74599105, 0.02410989, 0.3729872,  0.6226182,  0.9708009,  0.72936815, 1.504065,   2.495893, 3.511518,   5.3656907, 0.79503316, 4.317483,   6.1784487]
See our Blog Post,  Colab notebook or Example Script for usage.