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Found 7 papers, 4 papers with code
Hybrid Navigation Acceptability and Safety
Autonomous vessels have emerged as a prominent and accepted solution, particularly in the naval defence sector.
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation
However, no current approaches in Scene Graph Generation (SGG) aim at providing useful graphs for downstream tasks.
An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data
However, high accuracies of 94. 95% were achieved using CQT as the preprocessing filter for a ResNet-based convolutional neural network, providing a trade-off between model complexity and accuracy; a result that is more than 10% higher than previously reported approaches.
Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning
Navigation is an essential ability for mobile agents to be completely autonomous and able to perform complex actions.
Heuristics, Answer Set Programming and Markov Decision Process for Solving a Set of Spatial Puzzles
The goal of this work is to investigate the automated solution of this kind of puzzles adapting an algorithm that combines Answer Set Programming (ASP) with Markov Decision Process (MDP), algorithm oASP(MDP), to use heuristics accelerating the learning process.
A method for the online construction of the set of states of a Markov Decision Process using Answer Set Programming
Non-stationary domains, that change in unpredicted ways, are a challenge for agents searching for optimal policies in sequential decision-making problems.
Answer Set Programming for Non-Stationary Markov Decision Processes
Non-stationary domains, where unforeseen changes happen, present a challenge for agents to find an optimal policy for a sequential decision making problem.
