Demo Data from EDBT 2026 / reviewers in the wild / expert
Alyssa L. Dayan
dblp:342/9360
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 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 |
Robot manipulation · 30% Learning theory · 30% Planning, search and constraint satisfaction · 30% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning › abstraction in planning
abstraction hierarchy |
0.7 | 1 | 2023 | Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement · ICLR 2023 |
Machine learning › Learning theory › generalization
combinatorial generalization |
0.7 | 1 | 2023 | Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement · ICLR 2023 |
Robotics › Robot manipulation
object rearrangement |
0.7 | 1 | 2023 | Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement · ICLR 2023 |
Robotics › Motion planning and robot control
task and motion planning |
0.2 | 1 | 2023 | Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
hierarchical reinforcement learning · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement
Michael Chang 0003, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths 0001, Sergey Levine, Amy Zhang 0001 |
ICLR | 2 |