Abstract: Data-driven inverse reinforcement learning (RL) control aims to infer the unknown cost function of a learner system from expert demonstrations. The convergence of existing methods ...
Engineers at Duke University have constructed a group of AI bots that together can solve complex design problems nearly as ...
3d
Geophysical-machine learning tool developed for continuous subsurface geomaterials characterization
Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...
Abstract: Cumulative Vehicle Routing Problem (CVRP) is an important challenge in logistics that involves optimizing vehicle routes by considering cumulative time or distance. This research aims to ...
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