Sep 11, 2020 · We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently selects relevant tasks ...
Obstacle-avoiding policies and frozen feature networks support transfer to unseen real-world environments, without any modification or retraining requirements.
Jan 20, 2021 · Further- more, our agents can navigate through unknown cluttered indoor environments to semantically-specified targets using only RGB images.
Oct 22, 2024 · We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently ...
Sep 8, 2024 · We present NavACL, a method of automatic curriculum learning tailored to the navigation task. NavACL is simple to train and efficiently ...
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments Steven D. Morad, Roberto Mecca, Rudra P.K. Poudel, Stephan Liwicki ...
Oct 26, 2020 · In this paper, we propose a tool based on the Habitat simulator which exploits real world images of the environment, together with sensor and actuator noise ...
Missing: Automatic Curriculum
In this work, we study the use of ACL for training long- horizon embodied AI tasks. We focus on ACL methods which generate their curriculum via task selection, ...
This paper presents a comprehensive review of embodied navigation tasks and the recent progress in deep learning based methods, which includes two major ...
Embodied Visual Navigation With Automatic Curriculum Learning in Real Environments. Published in IEEE Robotics and Automation Letters, 2022. Arxiv, IEEExplore ...