Sep 21, 2022 · In this stage, an iterative branch-and-bound procedure is used to design the paths of all agents so that each grid cell is visited by one agent, ...
This paper is concerned with near-optimal source search problem using a multiagent system in cluttered indoor environments.
This paper is concerned with near-optimal source search problem using a multiagent system in cluttered indoor environments. The goal of the problem is to ...
Nov 9, 2022 · This paper is concerned with near-optimal source search problem using a multiagent system in cluttered indoor environments.
Xiaoling Xu's 5 research works with 22 citations, including: Multiagent Autonomous Source Search Using Submodularity and Branch-and-Bound.
ECBS is a bounded-suboptimal variant of CBS that uses focal search to speed up CBS by sacrificing optimality and instead guaranteeing that the costs of its ...
Missing: Source Submodularity
Sep 2, 2024 · Cooperative multi-agent systems (MAS) are systems where multi- ple agents (such as autonomous vehicles/drones) work together to achieve a common ...
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Utilizing the adaptive submodularity of two problems, this research proposes an adaptive submodular inverse reinforcement learning (ASIRL) algorithm to learn ...
We would like to maintain a list of resources that utilize machine learning technologies to solve combinatorial optimization problems.
Oct 22, 2024 · This paper is concerned with autonomous forest full coverage search using multiple micro aerial vehicles (MAVs).