Demo Data from EDBT 2026 / reviewers in the wild / expert
Lekai Chen
dblp:350/4106
· 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 |
Multi-agent systems · 67% Reinforcement learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
agent-based simulation |
0.7 | 1 | 2023 | GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation · ICLR 2023 |
Knowledge, reasoning and agents › Multi-agent systems
multi-agent environments |
0.7 | 1 | 2023 | GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation · ICLR 2023 |
Machine learning › Reinforcement learning
multi-agent reinforcement learning |
0.7 | 1 | 2023 | GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
multi-agent simulation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation
Ming Zhang 0037, Shenghan Zhang, Zhenjie Yang 0001, Lekai Chen, Jinliang Zheng, Chao Yang 0026, Chuming Li, Hang Zhou 0009, Yazhe Niu, Yu Liu 0015 |
ICLR | 4 |