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

The following normlization coefficients are required to use this model:

mean = [ 1.2305138,  -0.04371411, -0.44542956, -0.09370098,  0.09094488,  1.3694725, -0.19992675, -0.02286135, -0.5287045,  -0.14465883, -0.19652697]

std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985,  1.0510299, 1.1583077,  0.79631287, 1.4802359,  1.6540332,  5.108601]

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

The following normlization coefficients are required to use this model:

mean = [ 1.2305138,  -0.04371411, -0.44542956, -0.09370098,  0.09094488,  1.3694725, -0.19992675, -0.02286135, -0.5287045,  -0.14465883, -0.19652697]

std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985,  1.0510299, 1.1583077,  0.79631287, 1.4802359,  1.6540332,  5.108601]

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

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

The following normlization coefficients are required to use this model:

mean = [ 1.2305138,  -0.04371411, -0.44542956, -0.09370098,  0.09094488,  1.3694725, -0.19992675, -0.02286135, -0.5287045,  -0.14465883, -0.19652697]

std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985,  1.0510299, 1.1583077,  0.79631287, 1.4802359,  1.6540332,  5.108601]

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

The following normlization coefficients are required to use this model:

mean = [ 1.2305138,  -0.04371411, -0.44542956, -0.09370098,  0.09094488,  1.3694725, -0.19992675, -0.02286135, -0.5287045,  -0.14465883, -0.19652697]

std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985,  1.0510299, 1.1583077,  0.79631287, 1.4802359,  1.6540332,  5.108601]

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

The following normlization coefficients are required to use this model:

mean = [ 1.2305138,  -0.04371411, -0.44542956, -0.09370098,  0.09094488,  1.3694725, -0.19992675, -0.02286135, -0.5287045,  -0.14465883, -0.19652697]

std = [0.17565121, 0.06369286, 0.34383234, 0.19566889, 0.5547985,  1.0510299, 1.1583077,  0.79631287, 1.4802359,  1.6540332,  5.108601]

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