PIRLNav: Pretraining with Imitation and RL Finetuning for OBJECTNAV-Reference-Cited by-同舟云学术

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PIRLNav: Pretraining with Imitation and RL Finetuning for OBJECTNAV

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Ramrakhya Ram¹,Batra Dhruv¹,Wijmans Erik¹,Das Abhishek²

Affiliation:

1. Georgia Institute of Technology

2. FAIR, Meta AI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204329.pdf?arnumber=10204329

Reference62 articles.

1. On evaluation of embodied navigation agents;anderson;ArXiv Preprint,2018

2. Generative adversarial imitation learning;ho;NIPS,2016

3. Interactive language: Talking to robots in real time;lynch;ArXiv Preprint,2022

4. A reduction of imitation learning and structured prediction to no-regret online learning;ross;AISTATS,2011

5. Matterport3D: Learning from RGB-D Data in Indoor Environments

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1. Learning When to Ask for Help: Efficient Interactive Navigation via Implicit Uncertainty Estimation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. VLFM: Vision-Language Frontier Maps for Zero-Shot Semantic Navigation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Probable Object Location (POLo) Score Estimation for Efficient Object Goal Navigation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Bridging Zero-shot Object Navigation and Foundation Models through Pixel-Guided Navigation Skill;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

5. RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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