EDBT 2026 Demo / reviewers in the wild / expert
Angel Sylvester
dblp:304/7950
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 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 |
Multi-agent systems · 33% Optimization for machine learning · 33% Reinforcement learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Optimization for machine learning › distributed optimization
distributed online learning |
0.8 | 1 | 2024 | Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments · IJCAI 2024 |
Knowledge, reasoning and agents › Multi-agent systems
multi-agent learning |
0.8 | 1 | 2024 | Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments · IJCAI 2024 |
Machine learning › Reinforcement learning
multi-agent reinforcement learning |
0.8 | 1 | 2024 | Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments · IJCAI 2024 |
Methods — techniques the papers use, named apart from their topics
bio-inspired learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments
Angel Sylvester |
IJCAI | 1 |