Mar 15, 2023 · We introduce a learning-verification integrated mobile agent path planning method to achieve both the effectiveness and the reliability.
Mar 15, 2023 · We introduce a learning-verification integrated mobile agent path planning method to achieve both the effectiveness and the reliability.
The major challenge in mobile agent path planning, within an uncertain environment, is effectively determining an optimal control model to discover the ...
Mobile Agents. Article. Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking. February 2023 ...
Feb 3, 2023 · The major challenge in mobile agent path planning, within an uncertain environment, is effectively determining an optimal control model to ...
Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking. https://doi.org/10.1016/j.knosys ...
It has been proposed to use reinforcement learning for trajectory planning in autonomous vehicles [13]. A path for efficient exploration in unknown environments ...
Missing: uncertain probabilistic checking.
Design and control of autonomous systems that operate in uncertain or adversarial environments can be facilitated by formal modelling and analysis.
Feb 8, 2024 · Xu, ''Mobile agent path planning under uncertain environment using reinforcement learning and probabilistic model checking,'' Knowl.-Based Syst.
Aug 20, 2022 · In this paper, a path planning of mobile robot in an unknown environment is carried out using Reinforcement learning embedded with SARSA ...