dataset
How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts
NathanGavenski
or hover any field below to flag it
Overview
Name
How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts
Source
NathanGavenski
Episodes
0
Robot count
0
Format
other
Description
How Resilient are Imitation Learning Methods to Sub-Optimal Experts?
Related Work
Trajectories used in How Resilient are Imitation Learning Methods to Sub-Optimal Experts?
The code that uses this data is on GitHub: https://github.com/NathanGavenski/How-resilient-IL-methods-are
Structure
These trajectories are formed by using Stable Baselines.
Each file is a dictionary of a set of trajectories with the following keys:
actions: the action in the given timestamp… See the full description on the dataset page: https://huggingface.co/datasets/NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts.
Robots used
null