Competency Assessment for Autonomous Agents using Deep Generative Models-Reference-Cited by-同舟云学术

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Competency Assessment for Autonomous Agents using Deep Generative Models

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
Short-container-title:

Author:

Acharya Aastha¹,Russell Rebecca²,Ahmed Nisar R.¹

Affiliation:

1. University of Colorado Boulder,Ann and H.J. Smead Department of Aerospace Engineering Sciences,Boulder,Colorado

2. The Charles Stark Draper Laboratory, Inc.,Cambridge,Massachusetts

Funder

Defense Advanced Research Projects Agency (DARPA)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981991.pdf?arnumber=9981991

Reference36 articles.

1. Draw: A recurrent neural network for image generation;gregor;ArXiv,2015

2. Variational inference with normalizing flows;rezende;ICML,0

3. Z-forcing: Training stochastic recurrent networks;goyal;NIPS,0

4. Unsupervised representation learning with deep convolutional generative adversarial networks;radford;ICLRE,0

5. World models;ha;NIPS,0

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1. Event-triggered robot self-assessment to aid in autonomy adjustment;Frontiers in Robotics and AI;2024-01-04

2. “Can You Handle the Truth?”: Investigating the Effects of AR-Based Visualization of the Uncertainty of Deep Learning Models on Users of Autonomous Vehicles;2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR);2023-10-16

3. Operating a remote autonomous train: degradation of senses and cooperation;Proceedings of the 18th "Ergonomie et Informatique Avancée" Conference;2023-10-10

4. A Survey of Algorithmic Methods for Competency Self-Assessments in Human-Autonomy Teaming;ACM Computing Surveys;2023-08-14

5. Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

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