Bandit-Based Multi-Agent Source Seeking with Safety Guarantees

Article Bandit-Based Multi-Agent Source Seeking with Safety Guarantees Zhibin Ji † , Dingqi Zhu † and Bin Du * College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211016, China * Correspondence: [email protected] † These authors contributed equally to this work. Received: 2 November 2024; Revised: 24 December 2024;Accepted: 26 December 2024; Published: 27 December 2024 Abstract: In this paper, we focus on a multi-agent source seeking problem where the safety of agents is characterized by a set of linear constraints. In particular, the safety constraints are also dependent on the unknown environment states, which makes the source seeking problem challenging to solve. To overcome such a challenge, we introduce a new notion of measurable path and then specify the reachability condition for all agents. A time-sequence of exploration is further introduced to help the agents to escape the stuck positions. To provide a performance guarantee for our source seeking algorithm, we perform the regret analysis and show a sub-linear cumulative regret. Finally, we evaluate the effectiveness of our SafeSearch algorithm through a set of simulations.

Authors

Publication Details

Journal
Applied Mathematics and Statistics
Published
2024-12-27
DOI
https://doi.org/10.53941/ams.2024.100005
Citations
1
Primary Topic
Advanced Bandit Algorithms Research
Type
article
Field-Weighted Citation Impact
0.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bandit-Based Multi-Agent Source Seeking with Safety Guarantees

Zhibin Ji, Dingqi Zhu, Bin Du
1 citations
Applied Mathematics and Statistics
Advanced Bandit Algorithms Research
0.49
article

Bandit-Based Multi-Agent Source Seeking with Safety Guarantees

Zhibin Ji, Dingqi Zhu, Bin Du
article en
1 citations

Abstract

Article Bandit-Based Multi-Agent Source Seeking with Safety Guarantees Zhibin Ji † , Dingqi Zhu † and Bin Du * College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211016, China * Correspondence: [email protected] † These authors contributed equally to this work. Received: 2 November 2024; Revised: 24 December 2024;Accepted: 26 December 2024; Published: 27 December 2024 Abstract: In this paper, we focus on a multi-agent source seeking problem where the safety of agents is characterized by a set of linear constraints. In particular, the safety constraints are also dependent on the unknown environment states, which makes the source seeking problem challenging to solve. To overcome such a challenge, we introduce a new notion of measurable path and then specify the reachability condition for all agents. A time-sequence of exploration is further introduced to help the agents to escape the stuck positions. To provide a performance guarantee for our source seeking algorithm, we perform the regret analysis and show a sub-linear cumulative regret. Finally, we evaluate the effectiveness of our SafeSearch algorithm through a set of simulations.

Applied Mathematics and Statistics
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 27%
Advanced Bandit Algorithms Research
0.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Bandit-Based Multi-Agent Source Seeking with Safety Guarantees — Zhibin Ji, Dingqi Zhu, et al. · Applied Mathematics and Statistics (2024) | TGRS Research Map | TGRS