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dqn navigation · am-shb

A reinforcement-learning navigation agent using lidar and camera observations.

reinforcement-learningq-learningrobot-learning
Publisher repository ↗
dqn navigation · am-shb resource page screenshot
Resource screenshot · captured 2026-10-08 · visually reviewed

Overview

A reinforcement-learning navigation agent using lidar and camera observations.

Publisher summary: “A deep reinforcement learning agent learns to navigate and collect rewards in a large world using lidar and camera.”

Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.

Project information

Maintainer
am-shb
Primary language
Jupyter Notebook
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
2020-11-05

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

Documentation sections

  • Q-learning navigation system
  • Lidar Sensor Version
  • Camera version

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