Heather Riley
Heather Riley
Postgraduate student, University of Auckland
Verified email at aucklanduni.ac.nz
Title
Cited by
Cited by
Year
What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration.
R Gomez, M Sridharan, H Riley
Ann. Math. Artif. Intell. 89 (1-2), 179-208, 2021
92021
Integrating non-monotonic logical reasoning and inductive learning with deep learning for explainable visual question answering
H Riley, M Sridharan
Frontiers in Robotics and AI 6, 125, 2019
72019
Non-monotonic logical reasoning and deep learning for explainable visual question answering
H Riley, M Sridharan
Proceedings of the 6th International Conference on Human-Agent Interaction …, 2018
72018
Representing and reasoning with intentional actions on a robot
R Gomez, M Sridharan, H Riley
ICAPS Workshop on Planning and Robotics (PlanRob), 2018
42018
Integrating Deep Learning and Non-monotonic Logical Reasoning for Explainable Visual Question Answering
M Sridharan, H Riley
Multi-Agent Systems and Agreement Technologies, 558-570, 2020
2020
Towards a Theory of Intentions for Human-Robot Collaboration
R Gomez, M Sridharan, H Riley
Multi-Agent Systems and Agreement Technologies, 3-19, 2020
2020
Non-monotonic Logical Reasoning Guiding Deep Learning for Explainable Visual Question Answering
H Riley, M Sridharan
arXiv preprint arXiv:1909.10650, 2019
2019
The advantages of non-monotonic logic in modular architectures: High performance and interpretable outputs with limited training data
H Riley
University of Auckland, 2019
2019
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