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self-revising-active-inference · NACLab

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

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Overview

Official Implementation for the paper "SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models"

Review observation/action interfaces, checkpoints, robot embodiments and adaptation requirements. Repository code licensing does not automatically license weights or training data.

Project information

Maintainer
NACLab
Primary language
Python
Repository code license
Not specified
Model-weight license
Not recorded
Dataset license
Not recorded
Hardware design license
Not recorded
Maintenance
Not archived in the last recorded metadata
Last observed repository push
2026-08-05

Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.

Documentation sections

  • SR-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models
  • Official Publication, ArXiv Preprint, Project Video Description, and Research Blog Can be Found Below
  • Requirements
  • Experiment(s)
  • Miscellaneous
  • Citation

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