README.md

metadata

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

Decision Transformer model trained on medium-replay trajectories sampled from the Gym Walker2d environment

This is a trained Decision Transformer model trained on medium-replay trajectories sampled from the Gym Walker2d environment.

The following normlization coeficients are required to use this model:

mean = [1.2093647, 0.13264023, -0.14371201, -0.20465161, 0.55776125, -0.03231537, -0.2784661, 0.19130707, 1.4701707, -0.12504704, 0.05649531, -0.09991033, -0.34034026, 0.03546293, -0.08934259, -0.2992438, -0.5984178 ]

std = [0.11929835, 0.3562574, 0.258522, 0.42075422, 0.5202291, 0.15685083, 0.3677098, 0.7161388, 1.3763766, 0.8632222, 2.6364644, 3.0134118, 3.720684, 4.867284, 2.6681626, 3.845187, 5.47683867] See our Blog Post, Colab notebook or Example Script for usage.