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Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building
Official implementation for Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building (FARMap) in TMLR 2024 (Featured Certification; 3.5% among accepted papers).
We propose a new framework for mapping based on Fragmentation-And-Recall, or FARMap, that
exploits grid cell-like map fragmentation via surprisal combined with a long-term memory to perform
efficient online map building.
Our experiments show
that FARMap reduces wall-clock time and the number of steps (actions) taken to map large spaces,
and requires a smaller online memory size relative to baselines.
Run Experiments
Setup
pip install -r requirements.txt
(Optional) Environment Generation
python3 environment_generation/generator.py
Exploration
python3 run_exp.py -wandb -env $ENV_ID
Citation
If you use this code for your research, please cite our paper.
@article{hwang2024grid,
author = {Hwang, Jaedong and Hong, Zhang-Wei and Chen, Eric and Boopathy, Akhilan and Agrawal, Pulkit and Fiete, Ila},
title = {Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building},
journal={TMLR},
year = {2024},
url={https://openreview.net/forum?id=cT8oOJ6Q6F},
note={Featured Certification}
}
About
Grid Cell-Inspired Fragmentation and Recall for Efficient Map Building (TMLR 2024)