README.md

metadata

tags:
  - deep-reinforcement-learning
  - reinforcement-learning
  - decision-transformer
  - gym-continous-control
pipeline_tag: reinforcement-learning

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.