Results 1 to 10 of about 334,534 (257)
Applied Sciences, 2019 With the current advance of technology, agent-based applications are becoming a standard in a great variety of domains such as e-commerce, logistics, supply chain management, telecommunications, healthcare, and manufacturing.
Vicente Julian, Vicente Botti
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Learning multi-agent cooperation
Frontiers in Neurorobotics, 2022 Advances in reinforcement learning (RL) have resulted in recent breakthroughs in the application of artificial intelligence (AI) across many different domains.
Corban Rivera +2 more
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Bounding Box Projection for Regression Uncertainty in Oriented Object Detection
IEEE Access, 2021 Oriented object detection has recently attracted increasing attention for its importance in aerial image processing. Popular detection methods for oriented and densely packed objects usually utilize the rotation angle to reduce the overlap of bounding ...
Qian Wu +3 more
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Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023 We study a natural combinatorial single-principal multi-agent contract design problem, in which a principal motivates a team of agents to exert effort toward a given task. At the heart of our model is a reward function, which maps the agent efforts to an expected reward of the principal.
Dutting P. +3 more
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The Application of Artificial Intelligence Models for Food Security: A Review
Agriculture, 2023 Emerging technologies associated with Artificial Intelligence (AI) have enabled improvements in global food security situations. However, there is a limited understanding regarding the extent to which stakeholders are involved in AI modelling research ...
Rebecca Sarku +2 more
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IEEE Access, 2022 The ensemble learning method is a necessary process that provides robustness and is more accurate than the single model. The snapshot ensemble convolutional neural network (CNN) has been successful and widely used in many domains, such as image ...
Sangdaow Noppitak, Olarik Surinta
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DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters
IEEE Access, 2022 Many problems can reduce handwritten character recognition performance, such as image degradation, light conditions, low-resolution images, and even the quality of the capture devices.
Sarayut Gonwirat, Olarik Surinta
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Multi-agent Only Knowing [PDF]
Journal of Logic and Computation, 2001 Levesque introduced a notion of ``only knowing'', with the goal of capturing certain types of nonmonotonic reasoning. Levesque's logic dealt with only the case of a single agent. Recently, both Halpern and Lakemeyer independently attempted to extend Levesque's logic to the multi-agent case.
Halpern, Joseph Y., Lakemeyer, Gerhard
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Frontiers in Robotics and AI, 2021 The autonomous vehicle (AV) is one of the first commercialized AI-embedded robots to make autonomous decisions. Despite technological advancements, unavoidable AV accidents that result in life-and-death consequences cannot be completely eliminated.
Jimin Rhim +4 more
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Sensors, 2021 In this paper, we addressed the problem of controlling the position of a group of unicycle-type robots to follow in formation a time-varying reference avoiding obstacles when needed. We propose a kinematic control scheme that, unlike existing methods, is
Jose Bernardo Martinez +2 more
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