Image & Vision · GitHub ·318 ★

streetlearn

A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

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Details

Author
google-deepmind
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
c++
Stars
318
First indexed
2026-05-15
Last active
2020-07-21
Directory sync
2026-05-15
@google-deepmind

Overview

A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

Quick start

git

git clone https://github.com/google-deepmind/streetlearn

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What streetlearn can do

image
  • Image — Generates or edits images from natural-language prompts.

Frequently asked questions

What is streetlearn?
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
How do I install streetlearn?
Use git: `git clone https://github.com/google-deepmind/streetlearn`. Full setup details on the source page linked above.
Is streetlearn open source?
streetlearn is published on GitHub.
What are alternatives to streetlearn?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for streetlearn is sourced from GitHub, published by google-deepmind.

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