For years, the threat of quantum computing lived comfortably in the category of “interesting but distant,” but that comfort ...
Sichkar V. N. "Reinforcement Learning Algorithms in Global Path Planning for Mobile Robot", 2019 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Sochi, ...
50+ multitask evolutionary algorithms for multitask optimization 50+ single-task evolutionary algorithms that can handle multitask optimization problems 200+ multitask optimization problem cases with ...
NVIDIA CUDA-Q and cuDNN accelerate quantum algorithms for solar energy prediction, achieving significant improvements in speed and accuracy, according to NVIDIA Technical Blog. Advancements in ...
Abstract: This paper presents the hierarchical Q-learning path planning (HQPP) architecture for solving the cooperative tracking control problem of multi-agent systems (MASs) with lumped uncertainties ...
Abstract: With the continuous development of science and technology, the application of artificial intelligence in robot technology, especially in the progress of sports robot technology, has received ...
Memories can be as tricky to hold onto for machines as they can be for humans. To help understand why artificial agents develop holes in their own cognitive processes, electrical engineers have ...
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