Demo Data from EDBT 2026 / reviewers in the wild / expert
Guang Yang 0018
dblp:25/5712-18
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0003-1181-4862ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 · 33% Motion planning and robot control · 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 |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems › multi-agent control
multi-agent navigation |
0.9 | 1 | 2025 | Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation · IEEE Trans. Robotics 2025 |
Machine learning › Reinforcement learning
policy optimization |
0.9 | 1 | 2025 | Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation · IEEE Trans. Robotics 2025 |
Robotics › Motion planning and robot control
robot control |
0.9 | 1 | 2025 | Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation · IEEE Trans. Robotics 2025 |
Methods — techniques the papers use, named apart from their topics
decentralized control · 0.9co-optimization · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multiagent Navigation
Guang Yang 0018, Amanda Prorok |
IEEE Trans. Robotics | 2 |