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
- Zhibin Ji
- Dingqi Zhu
- Bin Du
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
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province