policy

MOPP

emiliarusso · PyTorch

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Overview

Name
MOPP
Author
emiliarusso
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This repository implements Model-Based Offline Planning (MOPP), an Offline RL algorithm that avoids out-of-distribution (OOD) actions in static dataset policy training.

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 yet

Compatible environments

0

No environments list MOPP yet.

Datasets that reference this policy

0

No datasets reference MOPP yet.