Xinran Liang

dblp:36/5362 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Artificial intelligence and machine learning · 3 · 1 first-author · 1 since 2021

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

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning
exploration
0.612022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning · ICLR 2022
Machine learning › Reinforcement learning › reinforcement learning from human feedback
preference-based reinforcement learning
0.612022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning · ICLR 2022
Machine learning › Reinforcement learning
reward uncertainty
0.612022
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning · ICLR 2022

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

reward uncertainty estimation · 0.6
YearPublicationVenuePosition
2022 Reward Uncertainty for Exploration in Preference-based Reinforcement Learning
Xinran Liang, Katherine Shu, Kimin Lee, Pieter Abbeel
ICLR1
2013 Hidden maintenance opportunities in discrete and complex production lines
Xi Gu, Seungchul Lee, Xinran Liang, Mark Garcellano, Mark Diederichs
Expert Syst. Appl.3
2005 Using Double-Layer One-Class Classification for Anti-jamming Information Filtering
Jianhua Li 0001, Xinran Liang, Shenghong Li 0001
ISNN (3)3