policy
ESN-GRL-based-Generative-Adversarial-Imitation-Learning
frezazadeh · PyTorch
or hover any field below to flag it
Overview
Name
ESN-GRL-based-Generative-Adversarial-Imitation-Learning
Author
frezazadeh
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
This repository implements a two-stage imitation learning framework. First, a graph-based reinforcement learning (GRL) agent is trained as an expert policy. Then, Generative Adversarial Imitation Learning (GAIL) uses the expert’s demonstrations to train a new policy that imitates the expert without
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list ESN-GRL-based-Generative-Adversarial-Imitation-Learning yet.
Datasets that reference this policy
0No datasets reference ESN-GRL-based-Generative-Adversarial-Imitation-Learning yet.