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

The following normlization coeficients are required to use this model:

mean = [ -0.04489148,  0.03232588,  0.06034835, -0.17081226, -0.19480659, -0.05751596,  0.09701628,  0.03239211, 11.047426,   -0.07997331, -0.32363534,  0.36297753,  0.42322603,  0.40836546,  1.1085187,  -0.4874403,  -0.0737481 ] 

std = [0.04002118,  0.4107858, 0.54217845,  0.41522816, 0.23796624, 0.62036866, 0.30100912,  0.21737163, 2.2105937, 0.572586, 1.7255033, 11.844218, 12.06324,     7.0495934,  13.499867, 7.195647, 5.0264325]

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

The following normlization coeficients are required to use this model:

mean = [ -0.04489148,  0.03232588,  0.06034835, -0.17081226, -0.19480659, -0.05751596,  0.09701628,  0.03239211, 11.047426,   -0.07997331, -0.32363534,  0.36297753,  0.42322603,  0.40836546,  1.1085187,  -0.4874403,  -0.0737481 ] 

std = [0.04002118,  0.4107858, 0.54217845,  0.41522816, 0.23796624, 0.62036866, 0.30100912,  0.21737163, 2.2105937, 0.572586, 1.7255033, 11.844218, 12.06324,     7.0495934,  13.499867, 7.195647, 5.0264325]

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


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

The following normlization coeficients are required to use this model:

mean = [ -0.04489148,  0.03232588,  0.06034835, -0.17081226, -0.19480659, -0.05751596,  0.09701628,  0.03239211, 11.047426,   -0.07997331, -0.32363534,  0.36297753,  0.42322603,  0.40836546,  1.1085187,  -0.4874403,  -0.0737481 ] 

std = [0.04002118,  0.4107858, 0.54217845,  0.41522816, 0.23796624, 0.62036866, 0.30100912,  0.21737163, 2.2105937, 0.572586, 1.7255033, 11.844218, 12.06324,     7.0495934,  13.499867, 7.195647, 5.0264325]

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

The following normlization coeficients are required to use this model:

mean = [ -0.04489148,  0.03232588,  0.06034835, -0.17081226, -0.19480659, -0.05751596,  0.09701628,  0.03239211, 11.047426,   -0.07997331, -0.32363534,  0.36297753,  0.42322603,  0.40836546,  1.1085187,  -0.4874403,  -0.0737481 ] 

std = [0.04002118,  0.4107858, 0.54217845,  0.41522816, 0.23796624, 0.62036866, 0.30100912,  0.21737163, 2.2105937, 0.572586, 1.7255033, 11.844218, 12.06324,     7.0495934,  13.499867, 7.195647, 5.0264325]

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

The following normlization coeficients are required to use this model:

mean = [ -0.04489148,  0.03232588,  0.06034835, -0.17081226, -0.19480659, -0.05751596,  0.09701628,  0.03239211, 11.047426,   -0.07997331, -0.32363534,  0.36297753,  0.42322603,  0.40836546,  1.1085187,  -0.4874403,  -0.0737481 ] 

std = [0.04002118,  0.4107858, 0.54217845,  0.41522816, 0.23796624, 0.62036866, 0.30100912,  0.21737163, 2.2105937, 0.572586, 1.7255033, 11.844218, 12.06324,     7.0495934,  13.499867, 7.195647, 5.0264325]

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