Charlotte Zhu

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Demo Data from SIGIR 2026 / reviewers in the wild / expert

dblp:149/1345 · DBLP profile ↗

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1ranked-venue papers

0as first author

0since 2021 · last 2014

—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence

1 paper

Reinforcement learning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Machine learning › Reinforcement learning › imitation learning › interactive imitation learning policy advice	0.2	1	2014	Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement · AAAI 2014
Machine learning › Reinforcement learning policy learning	0.2	1	2014	Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement · AAAI 2014
Machine learning › Reinforcement learning › bandit › non-parametric bandit gaussian process bandits	0.1	1	2014	Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement · AAAI 2014

Methods — techniques the papers use, named apart from their topics

gaussian process bandits · 0.2

Year	Publication	Venue	Position
2014	Generalizing Policy Advice with Gaussian Process Bandits for Dynamic Skill Improvement Jared Glover, Charlotte Zhu	AAAI	2