GPU-Accelerated Multi-Objective Optimal Planning in Stochastic Dynamic Environments

GPU-Accelerated Multi-Objective Optimal Planning in Stochastic Dynamic Environments

The importance of autonomous marine vehicles is increasing in a wide range of ocean science and engineering applications. Multi-objective optimization, where trade-offs between multiple conflicting objectives are achieved (such as minimizing expected mission time, energy consumption, and environment...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Rohit Chowdhury, Atharva Navsalkar, Deepak Subramani
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2022-04-01
Sarja:Journal of Marine Science and Engineering
Aiheet:
multi-objective planning
path planning
markov decision process
GPU-accelerated algorithms
explainable AI
Linkit:https://www.mdpi.com/2077-1312/10/4/533

Internet

https://www.mdpi.com/2077-1312/10/4/533

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