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decision-transformer-gym-walker2d-medium

Reinforcement Learning
Transformers
PyTorch
decision_transformer
feature-extraction
deep-reinforcement-learning
decision-transformer
gym-continous-control
Inference Endpoints
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  # Decision Transformer model trained on medium trajectories sampled from the Gym Walker2d environment
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  This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium trajectories sampled from the Gym Walker2d environment
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- <video src="https://huggingface.co/edbeeching/decision-transformer-gym-walker2d-medium/resolve/main/walker2d-medium.mp4" controls autoplay loop></video>
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  The following normlization coeficients are required to use this model:
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  mean = [ 1.218966, 0.14163373, -0.03704914, -0.1381431, 0.51382244, -0.0471911, -0.47288352, 0.04225416, 2.3948874, -0.03143199, 0.04466356, -0.02390724, -0.10134014, 0.09090938, -0.00419264, -0.12120572, -0.5497064]
 
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  # Decision Transformer model trained on medium trajectories sampled from the Gym Walker2d environment
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  This is a trained [Decision Transformer](https://arxiv.org/abs/2106.01345) model trained on medium trajectories sampled from the Gym Walker2d environment
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  The following normlization coeficients are required to use this model:
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  mean = [ 1.218966, 0.14163373, -0.03704914, -0.1381431, 0.51382244, -0.0471911, -0.47288352, 0.04225416, 2.3948874, -0.03143199, 0.04466356, -0.02390724, -0.10134014, 0.09090938, -0.00419264, -0.12120572, -0.5497064]